Instructions to use deep-learning-analytics/GrammarCorrector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deep-learning-analytics/GrammarCorrector with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("deep-learning-analytics/GrammarCorrector") model = AutoModelForSeq2SeqLM.from_pretrained("deep-learning-analytics/GrammarCorrector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from deep-learning-analytics/GrammarCorrector: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/deep-learning-analytics/GrammarCorrector/resolve/refs%2Fpr%2F2/model.safetensors
- Command line
-
hf download hf://deep-learning-analytics/GrammarCorrector@refs/pr/2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/deep-learning-analytics/GrammarCorrector/resolve/refs%2Fpr%2F2/model.safetensors
892 MB
- Xet hash:
- b6435ae7c08b3327866203a2957f5df02414825b162aaa5e510f584311b4e748
- Size of remote file:
- 892 MB
- SHA256:
- 4de5ce603e446c635480fdcb7e2da434d19d7e78e0dc91d31da04a1758a8dd3c
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