Instructions to use gagan3012/GEC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gagan3012/GEC with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gagan3012/GEC") model = AutoModelForSeq2SeqLM.from_pretrained("gagan3012/GEC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e158f63d5c34b7a23305ace0419953a2887d146600f657feb8b595fa95948e86
- Size of remote file:
- 3.77 GB
- SHA256:
- 80e4a8b589d5c5154639cdde57da8d56f4e74d407a19ac1784893e24ad396f5f
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