Instructions to use grammarly/coedit-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grammarly/coedit-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("grammarly/coedit-large") model = AutoModelForSeq2SeqLM.from_pretrained("grammarly/coedit-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add example inputs to the text generation widget
These are identical to the ones I'm using in https://huggingface.co/jbochi/candle-coedit-quantized It makes it easier for people to test the model: e3495de
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Adding `safetensors` variant of this model (#4)
- Adding `safetensors` variant of this model (c94de34263f29f94b7fb0686498fcbd0d7e841ec) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>50ea163
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Fix example script (#1)
- Fix example script (ab9d6d87d4a10045ec488170c902740ca27b2d88) Co-authored-by: Manuel Romero <mrm8488@users.noreply.huggingface.co>2b265d1
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Adding the 770M large modelf522bae
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