Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-el6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-el6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-el6") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-el6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc4d6983e76228f92321e8cd05880294b2ca1d9c716d2c1009ed721b9840592c
- Size of remote file:
- 722 MB
- SHA256:
- 5f2b44fa704f6449c397082527ab8481605b232b7a1251c8cc3cbdad2bf32480
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