Instructions to use BigTMiami/first_test_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use BigTMiami/first_test_adapter with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("BigTMiami/first_test_adapter", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from BigTMiami/first_test_adapter: direct link, hf CLI and curl.
- Browser
- Download file 157 MB
-
https://huggingface.co/BigTMiami/first_test_adapter/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://BigTMiami/first_test_adapter/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/BigTMiami/first_test_adapter/resolve/main/pytorch_model_head.bin
157 MB
- Xet hash:
- 614356d43da3da467594e1aa2426f2a3f9506f8e1e9685d00102e8e20246ed38
- Size of remote file:
- 157 MB
- SHA256:
- 9dce9fc158df946352eed84820488639e7b37e8e39077b4ecb9ab7a5027560b5
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