Instructions to use tannonk/bart_mini-PS-s42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tannonk/bart_mini-PS-s42 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tannonk/bart_mini-PS-s42") model = AutoModelForSeq2SeqLM.from_pretrained("tannonk/bart_mini-PS-s42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 731edb3d1bf6742c5cb556cc99fe707683eeebe8d087e94581305edfafb4d860
- Size of remote file:
- 4.08 MB
- SHA256:
- 7f4b35dc1ee3c6d0a6897b1b35a37afad27e91793aace01c4a684286cdfe5216
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