Instructions to use vdos/780d6e7b-7f6c-4069-aabf-7ff533b03275 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/780d6e7b-7f6c-4069-aabf-7ff533b03275 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, "vdos/780d6e7b-7f6c-4069-aabf-7ff533b03275") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8177c1e12428fae33409f4004c0babbc8b1f2cfecfb4c77041d85f36402207e
- Size of remote file:
- 6.78 kB
- SHA256:
- 83956f1ec5df669f3c64478bd8f79cd32f87df9000a7a2d26d1ae0de52ff37ae
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