Instructions to use reeddg/T5sumxx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reeddg/T5sumxx with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("reeddg/T5sumxx") model = AutoModelForSeq2SeqLM.from_pretrained("reeddg/T5sumxx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20eb4f664a220446e8e4e33bccd6e0bfd199279c5735e24b9519b68620694b4a
- Size of remote file:
- 9.87 GB
- SHA256:
- a2d73bf0fdbd9ef005bfcca3fbb044423f52b65676e2d3c9552c2de3a97cb05f
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