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:
- 0a44e274a11317dda2d6ee94f6d04e48ddb6488f0da760fdeafb4ac07e7c5210
- Size of remote file:
- 892 MB
- SHA256:
- 2a68c2e6dab981b9c7be20a7fbf58ad9c98714b36a528fd415440334d3e2776d
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