Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67e7981dfe813e6b15d8bf575e45cf04931103865234c24076947e34eecc6106
- Size of remote file:
- 242 MB
- SHA256:
- 75d1cb165845e70507ab3573a4baab5ce4f8d4fa7d791ef189e0cf056ae463ff
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