Instructions to use nmitchko/medfalcon-40b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nmitchko/medfalcon-40b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-40b-instruct") model = PeftModel.from_pretrained(base_model, "nmitchko/medfalcon-40b-lora") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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language:
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- medical
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# MedFalcon 40b LoRA
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language:
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- en
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license: cc-by-nc-3.0
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library_name: peft
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tags:
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- medical
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pipeline_tag: text-generation
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base_model: tiiuae/falcon-40b-instruct
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# MedFalcon 40b LoRA
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