Instructions to use nttx/9500f370-b1e3-4965-a4b5-918d76686f88 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/9500f370-b1e3-4965-a4b5-918d76686f88 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "nttx/9500f370-b1e3-4965-a4b5-918d76686f88") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec76b5d727ccd4be1a1033d6dd91343719643db0ac343bd74f81b6374683859d
- Size of remote file:
- 6.84 kB
- SHA256:
- f0c1c7f1648dedc06f00ee3e20c1dfc2358f43b2974aaf4c3036bb23f7d5cd28
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