Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-nl12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-nl12 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-nl12") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-nl12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0dac50f8585bb34c4ec965624c3f6e84b9beb8fab665b8deab6f9b5de93660d9
- Size of remote file:
- 1.54 GB
- SHA256:
- f84c2143c32969a8d9e26f40df4976ce9d1fcd56cbb328034f5ee89668be6b85
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