Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-el2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-el2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-el2") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-el2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca40375a886ee7be45f28c454f4b685706bebfcc086bfdb1115c5c911285bcd6
- Size of remote file:
- 192 MB
- SHA256:
- 6099f57d5d7f43443ed3f5a59041674245ee45382bce22d21154bc3ca02e6182
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