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--- |
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tags: |
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- autotrain |
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- text-generation-inference |
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- text-generation |
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- peft |
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library_name: transformers |
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widget: |
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- messages: |
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- role: user |
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content: What is your favorite condiment? |
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license: other |
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--- |
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# Model Trained Using AutoTrain |
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This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain). |
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# Usage |
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```bash |
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pip install peft |
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``` |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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from peft import AutoPeftModelForCausalLM, PeftConfig |
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model_id = "Aryan-401/phi-3-mini-4k-instruct-finetune-guanaco" |
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peft_model=AutoPeftModelForCausalLM.from_pretrained(model_id) |
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model = peft_model.merge_and_unload() |
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tokenizer = AutoTokenizer.from_pretrained(model_id) |
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messages = [ |
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{"role": "user", "content": "What is the Value of Pi?"} |
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] |
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') |
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model = model.to(device).eval() |
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input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt') |
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output_ids = model.generate(input_ids.to(device), max_length= 1000) |
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response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True) |
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print(response) |
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``` |