Instructions to use eeeebbb2/2acfa2de-95fb-4378-9c6f-e2d8c8f2997b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/2acfa2de-95fb-4378-9c6f-e2d8c8f2997b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-v0.2") model = PeftModel.from_pretrained(base_model, "eeeebbb2/2acfa2de-95fb-4378-9c6f-e2d8c8f2997b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32726c94d96b1a5c442963faa3a900decf397fe67b5c530097a9f8b2506c63b6
- Size of remote file:
- 493 kB
- SHA256:
- dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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