Instructions to use gsl22/bart-samsum-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsl22/bart-samsum-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsl22/bart-samsum-v1") model = AutoModelForSeq2SeqLM.from_pretrained("gsl22/bart-samsum-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db5ffa95015debd2120843997fc870512184f650a6bd464e52e78102734516bd
- Size of remote file:
- 558 MB
- SHA256:
- 02ff4fd500b312542429316fd47b3ed78799f574f965c1cb6be3243cb4e5945d
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