Instructions to use CAMeL-Lab/arat5-coda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CAMeL-Lab/arat5-coda with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/arat5-coda") model = AutoModelForSeq2SeqLM.from_pretrained("CAMeL-Lab/arat5-coda", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Verified signatureThe AraT5 CODA model is fantastic! We would like to contribute by updating the README to include the base_model information. This will help address the missing model card details.973cddc
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