Instructions to use jrc-ai/PreDA-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jrc-ai/PreDA-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jrc-ai/PreDA-base") model = AutoModelForSeq2SeqLM.from_pretrained("jrc-ai/PreDA-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b055172df8b55e084547fb27b13687cbf9f1c735a8e085cfb1c9176d901796df
- Size of remote file:
- 892 MB
- SHA256:
- a74108262b15383e3ed5c39f94414253ca7278424bc14de2cada15f1bb654ffa
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