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:
- 03468bc59ba70cbc46ccd651f80f8c4320a2705289931585b6ffa47f929ff351
- Size of remote file:
- 15.6 MB
- SHA256:
- c41f0ae30ba16e6b1ddb087371caa91cc44c165f86cf91d85b766397c3109415
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