Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-dl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-dl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-dl8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-dl8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e133c1eaaebe83b2fae361260c9bbca5a3e9b8264fa7bf50d00d4d47ef156257
- Size of remote file:
- 105 MB
- SHA256:
- ab6a141cb12a7a2428f99c17b80170f7e5335b25849c9b7d7d6ea02c447076ba
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