Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-el6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-el6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-el6") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-el6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08e00a774f533ca9853c4de4a1d728b8724eff48f3eece54382874c4ee74ad49
- Size of remote file:
- 2.04 GB
- SHA256:
- 09af36bd72b389935dc7a09aabc2376c2df6d1d78a0054b9d19404207ead3900
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