Instructions to use BigTMiami/D_adapter_seq_bn_classification_C_30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use BigTMiami/D_adapter_seq_bn_classification_C_30 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("BigTMiami/D_adapter_seq_bn_classification_C_30", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from BigTMiami/D_adapter_seq_bn_classification_C_30: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/BigTMiami/D_adapter_seq_bn_classification_C_30/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://BigTMiami/D_adapter_seq_bn_classification_C_30/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/BigTMiami/D_adapter_seq_bn_classification_C_30/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- f5a166f446af5a3b89b65244d9fee2a3fb7b187c10a4ab4ccd3120682154cfb6
- Size of remote file:
- 2.37 MB
- SHA256:
- 444efe04a6b6cde6f37f05b99d3c588321ea735ede4e1424719a0cc46757f31a
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