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:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/arat5-coda") model = AutoModelForMultimodalLM.from_pretrained("CAMeL-Lab/arat5-coda") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2472c4849bf037e1dc736002313655e82c4621c22f9f275e9f5b4d2c33820cdd
- Size of remote file:
- 3.5 kB
- SHA256:
- 76327f8333b8649ca268a1e4166de945f200ed524e852ccd96231139850413de
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