Instructions to use Aexeos/mt0_hate_finedtune_r16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aexeos/mt0_hate_finedtune_r16 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Aexeos/mt0_hate_finedtune_r16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Aexeos/mt0_hate_finedtune_r16: direct link, hf CLI and curl.
- Browser
- Download file 2.77 MB
-
https://huggingface.co/Aexeos/mt0_hate_finedtune_r16/resolve/01ac1bd5a00fdc03c3c577b33fc6cd7c06df3830/adapter_model.safetensors
- Command line
-
hf download hf://Aexeos/mt0_hate_finedtune_r16@01ac1bd5a00fdc03c3c577b33fc6cd7c06df3830/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Aexeos/mt0_hate_finedtune_r16/resolve/01ac1bd5a00fdc03c3c577b33fc6cd7c06df3830/adapter_model.safetensors
2.77 MB
- Xet hash:
- c850f863e3d8bbf0cbe8bf3d3f1e3bf4c11d948b29d3e73f25a16f3b657a085d
- Size of remote file:
- 2.77 MB
- SHA256:
- 099734b4764f849f04b6a90446e3afad838d9886cc546972e41631412977ee52
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