Instructions to use BigTMiami/AA_seq_bn_C_micro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use BigTMiami/AA_seq_bn_C_micro with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("BigTMiami/AA_seq_bn_C_micro", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from BigTMiami/AA_seq_bn_C_micro: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/BigTMiami/AA_seq_bn_C_micro/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://BigTMiami/AA_seq_bn_C_micro/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/BigTMiami/AA_seq_bn_C_micro/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 684c16b93ace4a4f6f95a4a1aed8b29a661d40c0c4f8434a0decbf7cccacd24c
- Size of remote file:
- 2.37 MB
- SHA256:
- ac5618ed1a1d51ef77b9b734911b790cbc22fda47b9c02c8b1371cc7f41bbb0a
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