Instructions to use prithivida/grammar_error_correcter_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivida/grammar_error_correcter_v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("prithivida/grammar_error_correcter_v1") model = AutoModelForSeq2SeqLM.from_pretrained("prithivida/grammar_error_correcter_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96791182f2e35032237ce1c205e9443af75b2a52491a3bc50dd747bbe4d48f07
- Size of remote file:
- 892 MB
- SHA256:
- 7a25e717ec2582f77c087d77bf7f09d866bb6ea63b1ff79a4fb17061a4b39c8d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.