Instructions to use tannonk/bart_mini-SI_bart5_50-s23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tannonk/bart_mini-SI_bart5_50-s23 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tannonk/bart_mini-SI_bart5_50-s23") model = AutoModelForSeq2SeqLM.from_pretrained("tannonk/bart_mini-SI_bart5_50-s23") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec94f9e3f69d4def58a8b9d3d7158a2d93c87e1b36a5994de24cd990fa018481
- Size of remote file:
- 4.11 MB
- SHA256:
- a6ff10aa59dd4de6c7919146ea9afa2f3f54c5a11e722c1cd01ce82eb7012390
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