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Update app.py
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app.py
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@@ -31,6 +31,8 @@ REPO_NAME = "jaydatech/phi3-finetuned-project"
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BASE_MODEL = "microsoft/Phi-3-mini-4k-instruct"
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HF_TOKEN = os.getenv("HF_TOKEN") # Load from Render environment variable
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device = "cuda" if torch.cuda.is_available() else "cpu"
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#tokenizer = LlamaTokenizerFast.from_pretrained(REPO_NAME, token=HF_TOKEN)
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@@ -43,8 +45,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
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# use_auth_token=HF_TOKEN
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# )
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tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL, trust_remode_code=True, use_auth_token=HF_TOKEN)
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model = AutoModelForCausalLM.from_pretrained(
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REPO_NAME,
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BASE_MODEL = "microsoft/Phi-3-mini-4k-instruct"
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HF_TOKEN = os.getenv("HF_TOKEN") # Load from Render environment variable
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config = AutoConfig.from_pretrained(REPO_NAME, use_auth_token=HF_TOKEN)
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device = "cuda" if torch.cuda.is_available() else "cpu"
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#tokenizer = LlamaTokenizerFast.from_pretrained(REPO_NAME, token=HF_TOKEN)
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# use_auth_token=HF_TOKEN
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# )
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tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(
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REPO_NAME,
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