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:
- 1e26e089373059085aee4f6b36b95fcf4578f3fd295f7d003ac767b52030740d
- Size of remote file:
- 336 MB
- SHA256:
- 41bb33a80263dfbcbfa370e2540e3e94596ea8ab1a2e9c3d39cf6f97c2cdfa1e
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