Instructions to use tuanna08go/a45bc180-e906-4fa6-b3ca-f6bb98da93fb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuanna08go/a45bc180-e906-4fa6-b3ca-f6bb98da93fb 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, "tuanna08go/a45bc180-e906-4fa6-b3ca-f6bb98da93fb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3f53e176dc2eabd496c77b6a51a069b859b3077acdcf1a593e386ee70f2f87c
- Size of remote file:
- 6.78 kB
- SHA256:
- dcd1b1b9519a418f55b9c0f9260090cf3b98b427e547e38f4b7b7f93ae8ee0a0
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