Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-el8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-el8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-el8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-el8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f10e1ed71f02d4be6fa8076b457c86ed9fe94c4a5bde158425baeaf78386c08f
- Size of remote file:
- 109 MB
- SHA256:
- 43f09e27e2a100420a4d8f7b781b7c5094009accb69c72a3ea9dddb308f6cc5c
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