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:
- c9744a3904367259d257603a462635b387ac1415ae9c438ba3c3e5c9271b6ca1
- Size of remote file:
- 237 MB
- SHA256:
- 9d845722ae997d6d882e5eded327ef0c61185c01a5523d5de84e82a3596734f0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.