Instructions to use nhung01/73ee70c3-e362-4fbc-bad0-95142e478684 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung01/73ee70c3-e362-4fbc-bad0-95142e478684 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, "nhung01/73ee70c3-e362-4fbc-bad0-95142e478684") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c812e66d218e4c7864b35611bfb095ee5ab7203f97221cd4378876eaf9e847c3
- Size of remote file:
- 126 MB
- SHA256:
- 2273e22c24a12f4bdf8b7ae3510e0e0fbc27fea4cf92149214641401ceb22b1d
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