Instructions to use SOUMYADEEPSAR/gender_bias_roberta-twitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use SOUMYADEEPSAR/gender_bias_roberta-twitter with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("cardiffnlp/twitter-roberta-base-2022-154m") model.load_adapter("SOUMYADEEPSAR/gender_bias_roberta-twitter", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from SOUMYADEEPSAR/gender_bias_roberta-twitter: direct link, hf CLI and curl.
- Browser
- Download file 3.6 MB
-
https://huggingface.co/SOUMYADEEPSAR/gender_bias_roberta-twitter/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://SOUMYADEEPSAR/gender_bias_roberta-twitter/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/SOUMYADEEPSAR/gender_bias_roberta-twitter/resolve/main/pytorch_adapter.bin
3.6 MB
- Xet hash:
- ee54944d358a020ab46833fbc79c3d73480a05401561060261a8edb712b2a227
- Size of remote file:
- 3.6 MB
- SHA256:
- 757b5bba9501724ea25a5d1eacdab2ee34b10eba8bbcfaa09bb4e1209601c0d8
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