Instructions to use ShengdingHu/compacter_t5-base_mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/compacter_t5-base_mrpc with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShengdingHu/compacter_t5-base_mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7100a5639e08125b7ea70cbc3ea8fbeea1a37062471cdc713c51d4eec86b53a7
- Size of remote file:
- 879 kB
- SHA256:
- 106ec62fa8685cd0b59851f7fc19fb0b8b747b4bf090a2fbceca83647c487ae0
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