Instructions to use ShengdingHu/adapter_t5-base_mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/adapter_t5-base_mrpc with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShengdingHu/adapter_t5-base_mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a95b5e7efc8e1cef14e3fb10aa033b153ad8b9dfa9a051d6f9741b50f85e9a67
- Size of remote file:
- 7.55 MB
- SHA256:
- b09e19d290866a921a7cc2616939f5dd9656a5f74c49c3237fddda3484eeed7f
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