Instructions to use gagan3012/GEC_cor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gagan3012/GEC_cor with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gagan3012/GEC_cor") model = AutoModelForSeq2SeqLM.from_pretrained("gagan3012/GEC_cor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a2e9f02c013c8dc86e48028d27c307ab35e4763384479d8502d029b408aa768
- Size of remote file:
- 3.77 GB
- SHA256:
- 340c6c6755088b9da1640960af4ee621a9b0fc83a6faec40f8c3a701ec94f2b1
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