Instructions to use nhung03/873e3b31-5242-4d8f-ab15-b8b894d67836 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung03/873e3b31-5242-4d8f-ab15-b8b894d67836 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, "nhung03/873e3b31-5242-4d8f-ab15-b8b894d67836") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0caea15d53e62726c5e1c73e58a764e4ec50bfaa7dca6927429c5fd7f8e9d20c
- Size of remote file:
- 84 MB
- SHA256:
- 57b74880b3acb5b301208d48cb61171f2ecc6b00e4211b5d6f544577a6281ef3
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