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:
- c1cdaaee0f3326f9e51c6ea140dcb99bdd9a296e6f734caeba575a7e32420bea
- Size of remote file:
- 6.84 kB
- SHA256:
- 7fe9536a20f4543a751693c0fed251699486698f5c65647c6b7247945697e597
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.