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:
- 8f40ff8ded49de02bdc4c211351a1d41f466baa38538ea9a8343de8abe7a5d06
- Size of remote file:
- 6.84 kB
- SHA256:
- 1b54586be19b1346b50b5f6aff437b0269d6e011bef01d82ef4c32532b0faf89
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