Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-dl6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-dl6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-dl6") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-dl6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 137ec029ee3cc7e65b9033fde6e8b7aef947cfc601564b0915d039825c54b743
- Size of remote file:
- 95.9 MB
- SHA256:
- 041693ad13c1e6cd142ece438936c34c3dee0e8d8853a418131e4f98ceea94b9
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