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Fixed so that model files are cached properly on modal

pull/20/head
Edward Donner 5 months ago
parent
commit
3980508170
  1. 14
      week8/pricer_service2.py

14
week8/pricer_service2.py

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

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