Instructions to use vhab10/Llama-compliance-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vhab10/Llama-compliance-4bit with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vhab10/Llama-compliance-4bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 795273e816324797eacb931861522ecdc4c045e059019500ad353454923a7be2
- Size of remote file:
- 97.3 MB
- SHA256:
- f7e0a779c191e6290594722c682dc1ee1d72226c9a12a07b0c15d301e9cb3da3
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