Instructions to use tuantmdev/08ad529c-12b5-4748-b0b2-fdd63cf52842 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/08ad529c-12b5-4748-b0b2-fdd63cf52842 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "tuantmdev/08ad529c-12b5-4748-b0b2-fdd63cf52842") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d32d928b49a8612a1d6f4df72e9d361e0a397336707f17ebc7b209bac5d3f846
- Size of remote file:
- 6.78 kB
- SHA256:
- ec66ba88b268ae3c4220286b4a97df8adf97ffc5059b414d70f39933adee0533
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