Instructions to use tannonk/bart_mini-SI_mass-s23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tannonk/bart_mini-SI_mass-s23 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tannonk/bart_mini-SI_mass-s23") model = AutoModelForSeq2SeqLM.from_pretrained("tannonk/bart_mini-SI_mass-s23", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b312416e134c0873b43e48128e117c31e1965b2202e2ad6c0753d4885501d02
- Size of remote file:
- 4.08 MB
- SHA256:
- 510071a2599525e44cd3b69346a45df30b4edf31c3f4cf192c584141d3d11a13
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