Instructions to use chauhoang/f4ceaa19-6420-4b44-a08d-f9e4b1bc8dc3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/f4ceaa19-6420-4b44-a08d-f9e4b1bc8dc3 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, "chauhoang/f4ceaa19-6420-4b44-a08d-f9e4b1bc8dc3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 685f850fcf60aed53b1b7543dffe55a42fd4fd27dc766d58e4534e224c7fc05d
- Size of remote file:
- 6.78 kB
- SHA256:
- 32fcfe3114d903bf5a9323fba1c465c56294841a3ea32f765f68aea420a55532
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