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:
- b95670949bf7668de3b1a332de7302b489462c8f98f339e8fbd7c7e026188f48
- Size of remote file:
- 49.8 MB
- SHA256:
- 10e34e4100b5f60fc0bc15eaee4d6276d4e620ba5bfdf7a6a550ec8399c77cd5
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