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|
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{ |
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"cells": [ |
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{ |
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"cell_type": "markdown", |
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"id": "61f56afc-bc15-46a4-8eb1-d940c332cf52", |
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"metadata": {}, |
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"source": [ |
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"# Introducing Colab\n", |
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"\n", |
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"To see some of what Colab can do, please follow the link below!\n", |
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"\n", |
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"https://colab.research.google.com/drive/1DjcrYDZldAXKJ08x1uYIVCtItoLPk1Wr?usp=sharing" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "e9289ba7-200c-43a9-b67a-c5ce826c9537", |
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"metadata": {}, |
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"outputs": [], |
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"source": [] |
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} |
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], |
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"metadata": { |
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"kernelspec": { |
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"display_name": "Python 3 (ipykernel)", |
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"language": "python", |
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"name": "python3" |
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}, |
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"language_info": { |
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"name": "ipython", |
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"version": 3 |
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}, |
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"file_extension": ".py", |
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"mimetype": "text/x-python", |
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"name": "python", |
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"nbconvert_exporter": "python", |
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"pygments_lexer": "ipython3", |
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"version": "3.11.10" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 5 |
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} |
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{ |
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"cells": [ |
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{ |
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"cell_type": "markdown", |
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"id": "1f2ed49d-7873-4a03-bdc8-bda1c23cb979", |
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"metadata": {}, |
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"source": [ |
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"# HuggingFace pipelines\n", |
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"\n", |
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"For this session we head to Google Colab and use this Notebook to explore the HuggingFace High Level API, pipelines.\n", |
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"\n", |
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"https://colab.research.google.com/drive/1aMaEw8A56xs0bRM4lu8z7ou18jqyybGm?usp=sharing\n", |
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"\n", |
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"You can use a low cost (or free) T4 GPU runtime for this notebook - and the results look great!\n", |
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"\n", |
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"There are instructions in the notebook for setting up your HuggingFace Token and including it as a secret in the notebook." |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "d5d84b78-0a02-4a35-8f10-e3f7451d352f", |
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"metadata": {}, |
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"outputs": [], |
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"source": [] |
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} |
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], |
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"metadata": { |
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"kernelspec": { |
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"display_name": "Python 3 (ipykernel)", |
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"language": "python", |
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"name": "python3" |
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}, |
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"language_info": { |
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"codemirror_mode": { |
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"name": "ipython", |
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"version": 3 |
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}, |
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"file_extension": ".py", |
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"mimetype": "text/x-python", |
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"name": "python", |
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"nbconvert_exporter": "python", |
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"pygments_lexer": "ipython3", |
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"version": "3.11.10" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 5 |
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} |
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|
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{ |
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"cells": [ |
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{ |
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"cell_type": "markdown", |
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"id": "61f56afc-bc15-46a4-8eb1-d940c332cf52", |
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"metadata": {}, |
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"source": [ |
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"# Tokenizers\n", |
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"\n", |
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"Please can I bring you back to the wonderful Google Colab where we'll look at different Tokenizers:\n", |
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"\n", |
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"https://colab.research.google.com/drive/1WD6Y2N7ctQi1X9wa6rpkg8UfyA4iSVuz?usp=sharing" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "e9289ba7-200c-43a9-b67a-c5ce826c9537", |
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"metadata": {}, |
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"outputs": [], |
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"source": [] |
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} |
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], |
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"metadata": { |
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"kernelspec": { |
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"display_name": "Python 3 (ipykernel)", |
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"language": "python", |
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"name": "python3" |
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}, |
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"language_info": { |
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"codemirror_mode": { |
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"name": "ipython", |
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"version": 3 |
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}, |
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"file_extension": ".py", |
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"mimetype": "text/x-python", |
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"name": "python", |
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"nbconvert_exporter": "python", |
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"pygments_lexer": "ipython3", |
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"version": "3.11.10" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 5 |
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} |
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|
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{ |
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"cells": [ |
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{ |
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"cell_type": "markdown", |
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"id": "61f56afc-bc15-46a4-8eb1-d940c332cf52", |
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"metadata": {}, |
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"source": [ |
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"# Models\n", |
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"\n", |
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"And now - this colab unveils the heart (or the brains?) of the transformers library - the models:\n", |
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"\n", |
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"https://colab.research.google.com/drive/1WD6Y2N7ctQi1X9wa6rpkg8UfyA4iSVuz?usp=sharing\n", |
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"\n", |
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"This should run nicely on a low-cost or free T4 box." |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "e9289ba7-200c-43a9-b67a-c5ce826c9537", |
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"metadata": {}, |
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"outputs": [], |
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"source": [] |
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} |
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], |
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"metadata": { |
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"kernelspec": { |
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"display_name": "Python 3 (ipykernel)", |
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"language": "python", |
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"name": "python3" |
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}, |
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"language_info": { |
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"codemirror_mode": { |
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"name": "ipython", |
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"version": 3 |
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}, |
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"file_extension": ".py", |
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"mimetype": "text/x-python", |
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"name": "python", |
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"nbconvert_exporter": "python", |
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"pygments_lexer": "ipython3", |
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"version": "3.11.10" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 5 |
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} |
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|
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{ |
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"cells": [ |
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{ |
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"cell_type": "markdown", |
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"id": "61f56afc-bc15-46a4-8eb1-d940c332cf52", |
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"metadata": {}, |
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"source": [ |
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"# Meeting minutes creator\n", |
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"\n", |
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"In this colab, we make a meeting minutes program.\n", |
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"\n", |
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"It includes useful code to connect your Google Drive to your colab.\n", |
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"\n", |
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"Upload your own audio to make this work!!\n", |
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"\n", |
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"https://colab.research.google.com/drive/1KSMxOCprsl1QRpt_Rq0UqCAyMtPqDQYx?usp=sharing\n", |
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"\n", |
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"This should run nicely on a low-cost or free T4 box." |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "e9289ba7-200c-43a9-b67a-c5ce826c9537", |
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"metadata": {}, |
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"outputs": [], |
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"source": [] |
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} |
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], |
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"metadata": { |
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"kernelspec": { |
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"display_name": "Python 3 (ipykernel)", |
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"language": "python", |
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"name": "python3" |
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}, |
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"language_info": { |
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"codemirror_mode": { |
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"name": "ipython", |
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"version": 3 |
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}, |
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"file_extension": ".py", |
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"mimetype": "text/x-python", |
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"name": "python", |
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"nbconvert_exporter": "python", |
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"pygments_lexer": "ipython3", |
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"version": "3.11.10" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 5 |
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} |
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