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:
- efda943bc270c20602beac4fe18e9599a2f522d3e7d1f5930df64c5fd86c2d7f
- Size of remote file:
- 627 Bytes
- SHA256:
- 8f48778da2d367030ffa9e34a13a77568507160dc237a6ac42cde848109336c8
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