Instructions to use aleegis12/d1d64dd2-04d9-4813-8975-76ede74d483e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/d1d64dd2-04d9-4813-8975-76ede74d483e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-Storm-8B") model = PeftModel.from_pretrained(base_model, "aleegis12/d1d64dd2-04d9-4813-8975-76ede74d483e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c73267d2fbe2ae132aefe3a65f3bb00d06d33bfbdfb2a8704e146447f931f255
- Size of remote file:
- 6.84 kB
- SHA256:
- c64ba77047e9284f94396f6d33f9581aca46a3c94c84243fa8d478d21d56a076
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