Instructions to use romainnn/6b437cd7-2758-4c6d-b6c1-647cb41b8440 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use romainnn/6b437cd7-2758-4c6d-b6c1-647cb41b8440 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "romainnn/6b437cd7-2758-4c6d-b6c1-647cb41b8440") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 383cb12a4aac662dac069d494048740360b0d7d33cf88ea46a9e95960465a4ad
- Size of remote file:
- 2.27 GB
- SHA256:
- 74800eea1b707a77aaf1c276824fab13fe6e2de540cf7fefd7c1f0cc3779d567
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