Instructions to use jerome1519/t5-small-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jerome1519/t5-small-finetuned-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jerome1519/t5-small-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("jerome1519/t5-small-finetuned-xsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71b8434b7861b31254111f248a64eda3b717c3f3f3531456852f39e5f65797fb
- Size of remote file:
- 242 MB
- SHA256:
- b019537308897c4bd7e3361e376250c76a1ed853342286c64a49420ae51cceb8
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