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:
- 82c47ba576290c48946fa5508bab4d8821d09b5ea2780a7e5020c027536e2667
- Size of remote file:
- 15 kB
- SHA256:
- edf78193019b8d2113ead6a81746fbcc4b5dbee1cc33c87e84878388ae51180d
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