Instructions to use ritvic/t5_n with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ritvic/t5_n with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("ritvic/t5_n") model = AutoModelForMultimodalLM.from_pretrained("ritvic/t5_n") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06fa787960ed5cb026816c09dd8974841955e7da483d2e0529fbe0663737000e
- Size of remote file:
- 892 MB
- SHA256:
- 236e905efa7cc98ff479dab7ec6349829f0811c78cf0c5569e5cd235d5885414
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