Instructions to use BigTMiami/G_adapter_compactor_classification_C_30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use BigTMiami/G_adapter_compactor_classification_C_30 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("BigTMiami/G_adapter_compactor_classification_C_30", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from BigTMiami/G_adapter_compactor_classification_C_30: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/BigTMiami/G_adapter_compactor_classification_C_30/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://BigTMiami/G_adapter_compactor_classification_C_30/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/BigTMiami/G_adapter_compactor_classification_C_30/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 87beb6995293cccbffddedc25de71b85094f4faecd6047ac6039f39114795fa1
- Size of remote file:
- 2.37 MB
- SHA256:
- 24b6d8141e4f7563af3013b4cc24e12681addbb7471224283a02f9d129880425
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