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_adapter.bin from BigTMiami/AA_seq_bn_P_micro: direct link, hf CLI and curl.
- Browser
- Download file 3.6 MB
-
https://huggingface.co/BigTMiami/AA_seq_bn_P_micro/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://BigTMiami/AA_seq_bn_P_micro/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/BigTMiami/AA_seq_bn_P_micro/resolve/main/pytorch_adapter.bin
3.6 MB
- Xet hash:
- 262997457cf2d5ab7d7c6348e4956e852f3ee4e05ec6a38c375e54c6085f6b73
- Size of remote file:
- 3.6 MB
- SHA256:
- 9d6df7506ca1f72a54574235872564e0810c5bbfc93c90258fbf211f89efbc0d
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