Instructions to use meet12341234/granite-4.0-h-micro-aegis-content-safety with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use meet12341234/granite-4.0-h-micro-aegis-content-safety with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("meet12341234/granite-4.0-h-micro-aegis-content-safety", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from meet12341234/granite-4.0-h-micro-aegis-content-safety: direct link, hf CLI and curl.
- Browser
- Download file 154 MB
-
https://huggingface.co/meet12341234/granite-4.0-h-micro-aegis-content-safety/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://meet12341234/granite-4.0-h-micro-aegis-content-safety/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/meet12341234/granite-4.0-h-micro-aegis-content-safety/resolve/main/adapter_model.safetensors
154 MB
- Xet hash:
- 3adca1675c3f9ac65fb72d711701e96e467564ebc3db2276b665bfc848ef50f9
- Size of remote file:
- 154 MB
- SHA256:
- 370a4c01a63baa436f6da4b5ca83467a511da3637f57a6b5e645f1e7232381e1
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