Instructions to use jrc-ai/PreDA-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jrc-ai/PreDA-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jrc-ai/PreDA-small") model = AutoModelForSeq2SeqLM.from_pretrained("jrc-ai/PreDA-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a24dd99c1235f11447fbcef9acce0a11e98a76d0687e25f2288f77fd659c9de
- Size of remote file:
- 5.3 kB
- SHA256:
- a641d17b2b407c236a08076bdd53ed7adcecb4c04bff2bf0fa6b277796084bb4
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