Instructions to use akashchauhan/GrammarCorrector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akashchauhan/GrammarCorrector with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("akashchauhan/GrammarCorrector") model = AutoModelForSeq2SeqLM.from_pretrained("akashchauhan/GrammarCorrector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98a40cbb1d05dc5c5d63df6eacca23d8eba87810a0487569cd0d07338f0b811a
- Size of remote file:
- 892 MB
- SHA256:
- fec8c345d3243fb417d546d10fb3f436fe8b66ad7301230fb624c16cd5ec759f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.