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_adapter.bin from BigTMiami/G_adapter_compactor_classification_C_30: direct link, hf CLI and curl.
- Browser
- Download file 285 kB
-
https://huggingface.co/BigTMiami/G_adapter_compactor_classification_C_30/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://BigTMiami/G_adapter_compactor_classification_C_30/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/BigTMiami/G_adapter_compactor_classification_C_30/resolve/main/pytorch_adapter.bin
285 kB
- Xet hash:
- 5b89db120f3c62fc8223bfc15ab2050dcf50c6df4e463928e29e22e4b3aca03c
- Size of remote file:
- 285 kB
- SHA256:
- 39a5af503e5eab554abf4bd27031b21afac63755c0854f1cb52fcb6b4cdd7d51
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