Instructions to use eeeebbb2/a6525279-79c1-4568-9071-4ce869a9df4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/a6525279-79c1-4568-9071-4ce869a9df4b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/a6525279-79c1-4568-9071-4ce869a9df4b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6137a88a05ce431ca5a5b201c236e8c7ce206e5f3352a96a92a4b55886409c1f
- Size of remote file:
- 15 kB
- SHA256:
- 85750cba78b9d34626f61dbc36219ad756a2748ebf7dcb4d749820f847fe9685
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