Instructions to use pointbreak3000/MINDMATE.AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pointbreak3000/MINDMATE.AI with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "pointbreak3000/MINDMATE.AI") - Notebooks
- Google Colab
- Kaggle
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README.md
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### Direct Use
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### Downstream Use [optional]
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### Direct Use
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from transformers import AutoModelForCausalLM, AutoTokenizer
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from peft import PeftModel
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base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1")
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tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-v0.1")
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model = PeftModel.from_pretrained(base_model, "pointbreak3000/mistral-mental-health-lora")
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prompt = "I'm feeling stressed and anxious lately. What should I do?"
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=100)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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### Downstream Use [optional]
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