Instructions to use chano12/COMEDY_Task2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chano12/COMEDY_Task2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "chano12/COMEDY_Task2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb49f1061de0234f10d5c5aa33b2aff854441ae22964b5cb0e0a05ed4e34c84c
- Size of remote file:
- 13.6 MB
- SHA256:
- b7ebb670f9b0f05a279683816bd2a0f8aa1b993e643dff1c78e9811dd4a7d623
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