Instructions to use mrozenva/finetunecuad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrozenva/finetunecuad with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("decapoda-research/llama-7b-hf") model = PeftModel.from_pretrained(base_model, "mrozenva/finetunecuad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ff9ad402b4a6074d0f509cbbee3bc6b1f24ee6d682397f1d753f99e10223971
- Size of remote file:
- 8.43 MB
- SHA256:
- 5ad1794b88b96e861a4d72b5ebe06342b695d5f00d5cddee24ea5b13ecef3955
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