Instructions to use leslyarun/grammatical-error-correction-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leslyarun/grammatical-error-correction-quantized with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("leslyarun/grammatical-error-correction-quantized") model = AutoModelForSeq2SeqLM.from_pretrained("leslyarun/grammatical-error-correction-quantized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 948ef1ad9adb920650f673efbcb925aea1054716f99a13ae7a2afcb8ebbe7986
- Size of remote file:
- 184 MB
- SHA256:
- 956493dc9aa97690028980d30a3d4b720172c2104453bc3799f34a0906d271d9
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