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:
- 91c00a9cf790b3631aed5a618bb6ce7f7c62b748fc624eebd2bf27373c620e25
- Size of remote file:
- 4.09 kB
- SHA256:
- 218e3ae08e1a818e772be6e8e105acc6bc72aa107492f3cd24c89321b06ac141
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