Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Vrushali/model-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vrushali/model-t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Vrushali/model-t5") model = AutoModelForSeq2SeqLM.from_pretrained("Vrushali/model-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25b5b6f2f10e304aa36c036225bb5af767484103936866bae569ace4fefb9718
- Size of remote file:
- 3.9 kB
- SHA256:
- a8feae9f5450712fd745ae4e28cd95a72f22b56880d6403f649c66f943585b47
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