Instructions to use BigTMiami/AA_seq_bn_P_micro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use BigTMiami/AA_seq_bn_P_micro with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("BigTMiami/AA_seq_bn_P_micro", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from BigTMiami/AA_seq_bn_P_micro: direct link, hf CLI and curl.
- Browser
- Download file 157 MB
-
https://huggingface.co/BigTMiami/AA_seq_bn_P_micro/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://BigTMiami/AA_seq_bn_P_micro/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/BigTMiami/AA_seq_bn_P_micro/resolve/main/pytorch_model_head.bin
157 MB
- Xet hash:
- 88e7db99c621c453a6adc0816f181926f88224e99d1e124bface1257357cdf7a
- Size of remote file:
- 157 MB
- SHA256:
- 3cbfceb24dd78f97b97c881e6469f82410fcb213e0d0f4385e8983cf9b8a73ab
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