Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-dl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-dl2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-dl2") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-dl2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06296951594d124e9cebb032a15bcbef402732e4d31c29e5493a4650bcac26ee
- Size of remote file:
- 175 MB
- SHA256:
- 9e63720e946957e0d3751e1c6688de06e6ad71abadcbd3aa3d4f93e45bc03684
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