Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-dl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-dl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-dl8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-dl8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a1dc7af8af1deb22d8c195bd4d58861dfa1fd50799048b7d099def5b02ad171
- Size of remote file:
- 276 MB
- SHA256:
- f63ddf1bc5b2812deb1d607181a8ea5a2f1a5ad2216da2b2e11c7ad5f0185ea1
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