Instructions to use tannonk/bart_mini-SI_bart-s42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tannonk/bart_mini-SI_bart-s42 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tannonk/bart_mini-SI_bart-s42") model = AutoModelForSeq2SeqLM.from_pretrained("tannonk/bart_mini-SI_bart-s42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f244981f5410ba5ec0a06bfa616b5c674f9747ce0b193f29dd11bd19ace2df8
- Size of remote file:
- 4.08 MB
- SHA256:
- 7c4635aa61e05d4cc0213e93cf1d0d87cd36d01b449c074869f1444c15d32921
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