Instructions to use qgallouedec/tiny-T5ForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qgallouedec/tiny-T5ForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("qgallouedec/tiny-T5ForConditionalGeneration") model = AutoModelForMultimodalLM.from_pretrained("qgallouedec/tiny-T5ForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 773e9a86edce0fb4d73d66fcaeff53ada8bad6585d6cd6875749d663f99557ef
- Size of remote file:
- 2.25 MB
- SHA256:
- 3013b4f237727a276bb16fe65b35d62cc12472b1fede61c81545e3454d83e1b0
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