Instructions to use tannonk/bart_mini-SI_mass-s1984 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tannonk/bart_mini-SI_mass-s1984 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tannonk/bart_mini-SI_mass-s1984") model = AutoModelForSeq2SeqLM.from_pretrained("tannonk/bart_mini-SI_mass-s1984") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac9d15456199577e1f02f8c278af03bffbc15293c957a547ce37c9fea2292ae7
- Size of remote file:
- 4.08 MB
- SHA256:
- fca9baaed7b8e8efea8a6bf2a8f88b2e5425e4b2e3f0b67142cdd383ae66cb1a
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