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:
- 854890b92fa31c9c5116791adb1354c8f2f9fc637ee72574591f7b19ee71fb1f
- Size of remote file:
- 97.3 MB
- SHA256:
- ff84ff1b2afe3c81648f69c662425e5133939e807416e00c8d1b88dd05b828ee
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