Instructions to use dada22231/0e73288a-a41d-43de-8432-44fc255dc395 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/0e73288a-a41d-43de-8432-44fc255dc395 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, "dada22231/0e73288a-a41d-43de-8432-44fc255dc395") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57f89b12645c201bc05a456a7cd61818ce2d28c0c1c0a4e67193bc3373807742
- Size of remote file:
- 17.2 MB
- SHA256:
- 14b5e679cb69af62e14c3b98d346177bd4137d882a44f87dec9efec982b01a05
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