Instructions to use oftshsl/t5_ua_gec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oftshsl/t5_ua_gec with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("oftshsl/t5_ua_gec") model = AutoModelForSeq2SeqLM.from_pretrained("oftshsl/t5_ua_gec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 832a36f77b2cf27ee088fee2726628becd6df70cbebf3665e3f69731eb9f0f87
- Size of remote file:
- 3.25 kB
- SHA256:
- 344452fef620c82af37e8c48b3922acfd08e2c2396b5d99a5d200f11047af9b1
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