Instructions to use jazzisfuture/new_summary_t5_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jazzisfuture/new_summary_t5_small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jazzisfuture/new_summary_t5_small") model = AutoModelForSeq2SeqLM.from_pretrained("jazzisfuture/new_summary_t5_small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3220afff5659be891a812b0bb9a6563fafd9476e87d5c00f126a9fabcce38ac8
- Size of remote file:
- 242 MB
- SHA256:
- 35e8cc2eed3a4867bc9d4e3af23a8fd86ab7789d7998c4bff1e1a1348b2497bd
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