Instructions to use VictorSanh/bart-base-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VictorSanh/bart-base-finetuned-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("VictorSanh/bart-base-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("VictorSanh/bart-base-finetuned-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a47286ddb9a567d99a87637548e624b942f4a764156ba1d35e446deb2bcd465d
- Size of remote file:
- 558 MB
- SHA256:
- 903cb4b85b1cc3897548cc5b368d9ff7a11225879bd30d2b744f7fefd2f1e1ef
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