Instructions to use ayakiri/sentence-correction-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayakiri/sentence-correction-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ayakiri/sentence-correction-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("ayakiri/sentence-correction-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d71ab2b88a08a67479eaefb6e213d8b868a16444f0968498df21ac61aa79101e
- Size of remote file:
- 5.43 kB
- SHA256:
- 3836a867d2f8768fdc4b22849508d7b15848a6c6becd86b1045bd134e562a97b
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