Instructions to use souging/bca8c4b7-2de8-49d3-858b-9d759830618d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/bca8c4b7-2de8-49d3-858b-9d759830618d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-3B") model = PeftModel.from_pretrained(base_model, "souging/bca8c4b7-2de8-49d3-858b-9d759830618d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d78130504c0efdf886c68f3df212d60b1ad4c404eb8a03322ab6587209b79dce
- Size of remote file:
- 97.4 MB
- SHA256:
- 3f7c60943f55f6a74bd7a2048a2b5aeb74eb6616812c7af780a774efe88c39f3
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