Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-el6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-el6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-el6") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-el6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b74cd6ecb9f2a41e3b2243754cb1f157d0873c6ce45d9c5fd7b4faba50db1156
- Size of remote file:
- 102 MB
- SHA256:
- 9ab87e412a1ce2ecc1633af2a467a8f197991bb4641d6a8b985f273aef2d0c96
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