Instructions to use prxy5606/72015f29-5d0a-4180-8d64-02a7a094c49d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5606/72015f29-5d0a-4180-8d64-02a7a094c49d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-SOLAR-10.7B") model = PeftModel.from_pretrained(base_model, "prxy5606/72015f29-5d0a-4180-8d64-02a7a094c49d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 308fb88546214b45e96319946c82d06f6a20abd229eb99d255675e80536c439d
- Size of remote file:
- 1.01 GB
- SHA256:
- ea5a57637e2da938f22ecc7e9ce584adac02cf2e3adae6f4aa66b222806365a7
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