Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-nl4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-nl4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-nl4") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-nl4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e310f9c5676b115f9776ac7451bc7ba4c2008d31196729c90be701a215afc343
- Size of remote file:
- 183 MB
- SHA256:
- e8c4d64b9bf1b538507fbb06864c69c2ce222612b1d765fec7d0feedfab4a697
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