Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-dl6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-dl6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-dl6") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-dl6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dd1e4c0255a1fb04e241f7cdb89b264896ca09f61a0eb518674037e2f93f69c
- Size of remote file:
- 96.2 MB
- SHA256:
- 01782df672f9c3c5acb956f15089e936f578c34965dff7d6b026680b2a423710
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