Instructions to use cwaud/d8a5519b-748a-4954-a590-e63634d3bbb9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cwaud/d8a5519b-748a-4954-a590-e63634d3bbb9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "cwaud/d8a5519b-748a-4954-a590-e63634d3bbb9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c7dafa5ecb9089d93af85b3ea1478b3707212a54916e3a102675c76c6f69540
- Size of remote file:
- 83.9 MB
- SHA256:
- 8dcc0208768e81fc91e53cc7a9530e8f00ab4fbe23d704ea6d18ad0b84fb7399
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