Instructions to use DeltaHub/lora_t5-base_mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeltaHub/lora_t5-base_mrpc with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DeltaHub/lora_t5-base_mrpc", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b14402746840a60e4bcf19cbf3b4be69b4b056334e70606a4b296d2128527959
- Size of remote file:
- 2.63 MB
- SHA256:
- 2a6aba040acdd7155dff7a868473fa42f4097f6cd67b7a5d910cdd7331bff2c5
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