Instructions to use mmcquade11/autonlp-reuters-summarization-34018133 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmcquade11/autonlp-reuters-summarization-34018133 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mmcquade11/autonlp-reuters-summarization-34018133") model = AutoModelForSeq2SeqLM.from_pretrained("mmcquade11/autonlp-reuters-summarization-34018133") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c76cd44c24d0e4daddf627009dae76cb913cddffd241705f7940f1dd27d0d597
- Size of remote file:
- 807 kB
- SHA256:
- 925c8919afd37bb4acf70b916ae7c0a24d4ae96aae40d687dfbcb83df267c22c
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