Instructions to use daniel40/dea22ed2-54ae-4395-ac92-c26c345d2e93 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/dea22ed2-54ae-4395-ac92-c26c345d2e93 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "daniel40/dea22ed2-54ae-4395-ac92-c26c345d2e93") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e68a5e4927090010ee8211afb02c550bb2a8e0ce8904aba554bb38378b95414
- Size of remote file:
- 2.44 GB
- SHA256:
- 6599370bb49fe53699ba31a900dfc06f42953a1a05e66ae66e2894364ef16c7b
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