Instructions to use YieldInc/lcfva with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YieldInc/lcfva with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "YieldInc/lcfva") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bcc00aef8dc3c24e2b1d91c434f31ca49d1078e2582a9408f6137edd0cad5d0
- Size of remote file:
- 146 MB
- SHA256:
- 15e1ddb89c6c823b45f6dcabdd386a8323666ac4d1160ccc9d529ef1b0f82e54
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