Instructions to use tuantmdev/bf68cff7-e186-48ab-aae8-b40cf3cfbf1f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/bf68cff7-e186-48ab-aae8-b40cf3cfbf1f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "tuantmdev/bf68cff7-e186-48ab-aae8-b40cf3cfbf1f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3aee50202919f77f1e3a5d6eed71f361ca3d608102dfd4862ea140fdaf2ebafd
- Size of remote file:
- 336 MB
- SHA256:
- cba6df109600eddf5058c99cf629a75308923ea3443214a1c55f3879ae8dff40
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