Instructions to use risolmayo/31f2c202-4cff-4d57-99bb-425f233050e8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use risolmayo/31f2c202-4cff-4d57-99bb-425f233050e8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "risolmayo/31f2c202-4cff-4d57-99bb-425f233050e8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 298a3531a5a940241be907fa4d359608e327bbcb3e1b8b17c7605720eeae625f
- Size of remote file:
- 671 MB
- SHA256:
- 5006e0a5a371709121d92710bd7f9ab94484f7e6bd7b4545827d75de917d09ae
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