Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-dl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-dl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-dl8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-dl8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 225c1e72ba27513865a6b06703b4a8a9c2d2f96388d4442a2d2631ed7288e673
- Size of remote file:
- 741 MB
- SHA256:
- 595efaa60df50b80387daa9f36dcef3cbd80b6be68c4adc188b1186e955876da
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