Instructions to use aleegis/44e29d31-de29-44b0-a6bd-b6cd340d9f49 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis/44e29d31-de29-44b0-a6bd-b6cd340d9f49 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, "aleegis/44e29d31-de29-44b0-a6bd-b6cd340d9f49") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7736b3c30424ece1d3194a2be1d14b635cad966a44eadc14d67e8f4091e6f3bd
- Size of remote file:
- 2.44 GB
- SHA256:
- 25cd977a5f622cbebc1a566f66f6b203075e316b7e16f7e7044f897766a5d0f4
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