Instructions to use 0x1202/0bc6a6b4-4105-42ea-83b7-74358aea94fe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/0bc6a6b4-4105-42ea-83b7-74358aea94fe 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, "0x1202/0bc6a6b4-4105-42ea-83b7-74358aea94fe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 708711e10d2232a91db0bac3f4adfccbf2735056b558070132fc46767dde71d5
- Size of remote file:
- 671 MB
- SHA256:
- 68134253d2389b24fd95c0ae0c7adbdd4249bbf62bf5c3de64018611f985f5fb
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