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Update app.py
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app.py
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@@ -56,17 +56,23 @@ model_id = "TheBloke/zephyr-7B-beta-GGUF"
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device = "cpu"
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llm_model = CTransformers(
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)
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# model = AutoModelForCausalLM.from_pretrained(model_id)
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# pipe = pipeline("text-generation", model=model, tokenizer=tokenizer, max_new_tokens=10)
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device = "cpu"
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# llm_model = CTransformers(
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# model="TheBloke/zephyr-7B-beta-GGUF",
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# model_type="mistral",
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# max_new_tokens=4384,
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# temperature=0.2,
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# repetition_penalty=1.13,
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# device=device # Set the device explicitly during model initialization
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# )
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("HuggingFaceH4/zephyr-7b-beta")
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model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta")
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# tokenizer = AutoTokenizer.from_pretrained(model_id)
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# model = AutoModelForCausalLM.from_pretrained(model_id)
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# pipe = pipeline("text-generation", model=model, tokenizer=tokenizer, max_new_tokens=10)
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