Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-el8-dl1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-el8-dl1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-el8-dl1") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-el8-dl1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec213c2580b46b08f786577b5c2819dde2e57cacb6b4e2341ac5e2e4d45d2159
- Size of remote file:
- 183 MB
- SHA256:
- c0373470116e60b5c28042019c397b8768453ca45c2dd49cdecbcc430696fe6d
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