Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-dl16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-dl16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-dl16") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-dl16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e66c3afbafff2fa4ac3db8017b5a8e33f2146e6ccf6769dc3dccf4095143d79
- Size of remote file:
- 410 MB
- SHA256:
- 1c4dfa51be214a1545a734f99817c831d6edd6083020313fc8b33ff53375f9b1
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