Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use vansin/v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vansin/v3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vansin/v3") model = AutoModelForSeq2SeqLM.from_pretrained("vansin/v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf50f827d4389d975ac591eeac8584eb4dcc4b09370ac042184a65be59b6ad90
- Size of remote file:
- 62.3 MB
- SHA256:
- b840cd5afdcc806b8175fed5a8800a5aa8be1beb60aab8ab7f650728b122dac2
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