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:
- 18363a1fea53714bef0e2e644d73b2fe732e9f487d51ebd37530bd7d1723da81
- Size of remote file:
- 1.47 GB
- SHA256:
- e46446697f125dc077312696dc13cfceade554577c8bc3e6f596832b307548c8
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