Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-el4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-el4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-el4") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-el4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fb366b006286669878809fb8e5e04731e6fb71045c31594762c43dd25971081
- Size of remote file:
- 665 MB
- SHA256:
- 769d548946f07ddc3aed6cfa2ccf984ee58d40d75432ade88953f60cd336e47c
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