Instructions to use CAMeL-Lab/arat5-coda-did with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CAMeL-Lab/arat5-coda-did with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/arat5-coda-did") model = AutoModelForSeq2SeqLM.from_pretrained("CAMeL-Lab/arat5-coda-did") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:26d07e687038c0d594a6d6c701c755e2ecf833ff80faa0aa72ec6bc367c96d4f
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size 1469405128
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