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_model_head.bin from SOUMYADEEPSAR/gender_bias_roberta-twitter: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/SOUMYADEEPSAR/gender_bias_roberta-twitter/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://SOUMYADEEPSAR/gender_bias_roberta-twitter/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/SOUMYADEEPSAR/gender_bias_roberta-twitter/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 09be4c7185a7ed05be00c344e70dcc2b084a3740e004045ba3a911a00a1cccbf
- Size of remote file:
- 2.37 MB
- SHA256:
- 8ef25fb98b106ebb19264bf56bc800e36d477f9270323452840b08cf322ec349
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