Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-el16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-el16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-el16") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-el16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3b7870ee32a26ba9e69e5d350e03022560c7fdef2b9c3fe497f832c3808d11f
- Size of remote file:
- 368 MB
- SHA256:
- be10eded56ae7dda91826c3b2914a92ae33e0bee93f7508fb58e72c3e1d06d12
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