Instructions to use dimasik2987/b2d516ae-20fe-494f-b1b8-fe63573a4dbb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik2987/b2d516ae-20fe-494f-b1b8-fe63573a4dbb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "dimasik2987/b2d516ae-20fe-494f-b1b8-fe63573a4dbb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5905567b69849d8fbb13bb52587e29793482d8b6a7b6d87f5bc0da108e231639
- Size of remote file:
- 6.78 kB
- SHA256:
- ee04a84bf400aa1bb5788ee1019f1bccdb669db47c1ae3979de0cfbda524992f
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