Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-nl10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-nl10 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-nl10") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-nl10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0882891e8cdfc90c068b3d2e04dd36b388f025a3e449c58af594759fcfe69653
- Size of remote file:
- 1.31 GB
- SHA256:
- 125a3a1863e7f909f2132c05ccdc86055955803cb6970a06a6d34701e8c52605
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