Instructions to use BigTMiami/C_adapter_seq_bn_classification_C_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use BigTMiami/C_adapter_seq_bn_classification_C_20 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("BigTMiami/C_adapter_seq_bn_classification_C_20", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from BigTMiami/C_adapter_seq_bn_classification_C_20: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/BigTMiami/C_adapter_seq_bn_classification_C_20/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://BigTMiami/C_adapter_seq_bn_classification_C_20/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/BigTMiami/C_adapter_seq_bn_classification_C_20/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 288a49da85dc3265d8fc35ddf5dda609574d9ef061fd2ae982ab14b29818fdd0
- Size of remote file:
- 2.37 MB
- SHA256:
- d97e60f8e37eca2a8fafe9226c74da85f0e0b0337e4a318456cf005ac625cf87
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