Instructions to use upb-nlp/RoGEC-decoder-mt0-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use upb-nlp/RoGEC-decoder-mt0-xl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="upb-nlp/RoGEC-decoder-mt0-xl")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("upb-nlp/RoGEC-decoder-mt0-xl") model = AutoModel.from_pretrained("upb-nlp/RoGEC-decoder-mt0-xl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from upb-nlp/RoGEC-decoder-mt0-xl: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/upb-nlp/RoGEC-decoder-mt0-xl/resolve/main/tokenizer.json
- Command line
-
hf download hf://upb-nlp/RoGEC-decoder-mt0-xl/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/upb-nlp/RoGEC-decoder-mt0-xl/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 8363914e0da6964ebc0ad2b92a8e28640c1ae087aa4e94a6145a92af2bb5437e
- Size of remote file:
- 16.3 MB
- SHA256:
- 4ee660ae764cd56ecac9dbe82d766502034efac119fc579414afcd68d4f6b922
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