Instructions to use BigTMiami/adapter_classifier_from_prtrained_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use BigTMiami/adapter_classifier_from_prtrained_test with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("BigTMiami/adapter_classifier_from_prtrained_test", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from BigTMiami/adapter_classifier_from_prtrained_test: direct link, hf CLI and curl.
- Browser
- Download file 3.6 MB
-
https://huggingface.co/BigTMiami/adapter_classifier_from_prtrained_test/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://BigTMiami/adapter_classifier_from_prtrained_test/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/BigTMiami/adapter_classifier_from_prtrained_test/resolve/main/pytorch_adapter.bin
3.6 MB
- Xet hash:
- e1c55b36959acae8fb1b6b49ee224503df1e9f0e45e12af3e58b25979bb88e97
- Size of remote file:
- 3.6 MB
- SHA256:
- 44af3aebf1dc9c603fa53dfb0f01800e4e8b305922379040dd5b411a5e67adc1
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