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@ -17,6 +17,9 @@ RUN_NAME = "2024-09-13_13.04.39"
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PROJECT_RUN_NAME = f"{PROJECT_NAME}-{RUN_NAME}" |
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REVISION = "e8d637df551603dc86cd7a1598a8f44af4d7ae36" |
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FINETUNED_MODEL = f"{HF_USER}/{PROJECT_RUN_NAME}" |
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MODEL_DIR = "hf-cache/" |
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BASE_DIR = MODEL_DIR + BASE_MODEL |
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FINETUNED_DIR = MODEL_DIR + FINETUNED_MODEL |
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QUESTION = "How much does this cost to the nearest dollar?" |
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PREFIX = "Price is $" |
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@ -28,10 +31,9 @@ class Pricer:
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def download_model_to_folder(self): |
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from huggingface_hub import snapshot_download |
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import os |
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MODEL_DIR = "~/.cache/huggingface/hub/" |
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os.makedirs(MODEL_DIR, exist_ok=True) |
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snapshot_download(BASE_MODEL, local_dir=MODEL_DIR) |
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snapshot_download(FINETUNED_MODEL, revision=REVISION, local_dir=MODEL_DIR) |
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snapshot_download(BASE_MODEL, local_dir=BASE_DIR) |
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snapshot_download(FINETUNED_MODEL, revision=REVISION, local_dir=FINETUNED_DIR) |
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@modal.enter() |
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def setup(self): |
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@ -50,17 +52,17 @@ class Pricer:
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# Load model and tokenizer |
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self.tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL) |
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self.tokenizer = AutoTokenizer.from_pretrained(BASE_DIR) |
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self.tokenizer.pad_token = self.tokenizer.eos_token |
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self.tokenizer.padding_side = "right" |
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self.base_model = AutoModelForCausalLM.from_pretrained( |
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BASE_MODEL, |
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BASE_DIR, |
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quantization_config=quant_config, |
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device_map="auto" |
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) |
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self.fine_tuned_model = PeftModel.from_pretrained(self.base_model, FINETUNED_MODEL, revision=REVISION) |
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self.fine_tuned_model = PeftModel.from_pretrained(self.base_model, FINETUNED_DIR, revision=REVISION) |
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@modal.method() |
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def price(self, description: str) -> float: |
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