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:
- bbe1331662e545bbf512387a9905c336a78b8f65183298ae7e724f20f7dc5358
- Size of remote file:
- 103 MB
- SHA256:
- 4ce26fbe8296a68d024f574f1a1241c5fda439476c5fcc45e9a945d48e84b51c
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