Instructions to use readerbench/RoGEC-mt0-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use readerbench/RoGEC-mt0-xl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("readerbench/RoGEC-mt0-xl") model = AutoModelForSeq2SeqLM.from_pretrained("readerbench/RoGEC-mt0-xl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8363914e0da6964ebc0ad2b92a8e28640c1ae087aa4e94a6145a92af2bb5437e
- Size of remote file:
- 16.3 MB
- SHA256:
- 4ee660ae764cd56ecac9dbe82d766502034efac119fc579414afcd68d4f6b922
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