Instructions to use saichandrapandraju/t5_base_tabqgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saichandrapandraju/t5_base_tabqgen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("saichandrapandraju/t5_base_tabqgen") model = AutoModelForSeq2SeqLM.from_pretrained("saichandrapandraju/t5_base_tabqgen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 097c1a48303a24b821bd29397f46b8550a20f40f65d3957f1ab45b4a3f6bfbc3
- Size of remote file:
- 95.8 MB
- SHA256:
- 84d329c1dc075611890de3427c67483ed6f933636a5b98e3948771cd77a64b40
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