Instructions to use jayanta/t5_summary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayanta/t5_summary with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jayanta/t5_summary") model = AutoModelForSeq2SeqLM.from_pretrained("jayanta/t5_summary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d937f75da6c0262988115e1f629332cecbf2c5ad52ac851ac623cae8f90f029
- Size of remote file:
- 242 MB
- SHA256:
- ff550be934f64bff002909642ee1500d5bc94f2af2a5a2a8c0aa758410ff4746
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