Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-el4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-el4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-el4") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-el4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09caa2effdcf4dd81976e00f528221756c0eb4ab1c162979d9e2c8657d05a35d
- Size of remote file:
- 1.94 GB
- SHA256:
- cb882ec6008a8fa936e216187c2a924e34fe48b53d1c52be96555ce7bacdad93
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