Instructions to use ShengdingHu/adapter_t5-base_sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/adapter_t5-base_sst2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShengdingHu/adapter_t5-base_sst2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6767017eec994f13b84f319fa2aab0c8f2d8c75aba69406d2103c26b02068680
- Size of remote file:
- 7.55 MB
- SHA256:
- 50bb29a9c6b8eeb71d766166a2ef767c11d88758c375011a32297d84003456d5
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