Instructions to use d4t4s3t/OpenHermes-2.5-Mistral-7B-CRAdapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use d4t4s3t/OpenHermes-2.5-Mistral-7B-CRAdapter 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, "d4t4s3t/OpenHermes-2.5-Mistral-7B-CRAdapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdcc0e0ae2f1319b3c77205450ef587b68cc7c76be136e52d375b931fc8a5c58
- Size of remote file:
- 83.9 MB
- SHA256:
- 0d07e7e636e32dbbbc73f0f2d6dc28a02a044dfd5ebfcd1fa7ebf52b7ff0efc3
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