Instructions to use ShengdingHu/adapter_t5-base_mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/adapter_t5-base_mnli with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShengdingHu/adapter_t5-base_mnli", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 014d3e88ca401b0dc63e82864e0ccba85824fe704c50227d36e9a3a8d57babfb
- Size of remote file:
- 7.55 MB
- SHA256:
- ceb2bdb5260e03fc1c3f7654223067754af0682f4018a08047cfc2465e99eeda
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