Instructions to use ShengdingHu/Capitalize_T5-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/Capitalize_T5-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShengdingHu/Capitalize_T5-LoRA", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc7d0ea95ab0122e9b6ddd1f19744b26e0b1c9f8a7aaf682fd38ec3b308651de
- Size of remote file:
- 14.3 MB
- SHA256:
- 005f95d9a5a2b78d6f0d09ae12a8c3c0a2a770bc14b6c81083773526edbb9551
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