Instructions to use tannonk/bart_mini-SI_bart5_50-s42 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-s42 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tannonk/bart_mini-SI_bart5_50-s42") model = AutoModelForSeq2SeqLM.from_pretrained("tannonk/bart_mini-SI_bart5_50-s42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c7b437e0f55fa75bf4a12f112a27dee43d83153195d7450dc1816898e77ab3b
- Size of remote file:
- 4.11 MB
- SHA256:
- 8470c2a1231e8255bfd55de781c27bdf860fa20fc0dac04cc7569124de4321bd
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