Instructions to use readerbench/RoGEC-mt0-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use readerbench/RoGEC-mt0-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("readerbench/RoGEC-mt0-base") model = AutoModelForSeq2SeqLM.from_pretrained("readerbench/RoGEC-mt0-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cf574b7f1399c9a4340124286aeffb833c887746de48fe97ca8a0ef695ec6e5
- Size of remote file:
- 2.33 GB
- SHA256:
- f7f888bb1581f09130c1b7653c45d5cad1c5848bf2bb06db5bc862c09e94ea85
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