Instructions to use ichrak550/model3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ichrak550/model3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "ichrak550/model3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f708d2e79c8c9d39ed900ca5600aeb7e697a29fb7489222e3a0b1a052ce8ef22
- Size of remote file:
- 16.8 MB
- SHA256:
- 13d1cbfb9947b8df2d04c907dd1678e42c3c862df301fe827c6696a53740d1bd
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