Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-nl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-nl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-nl8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-nl8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eff41bedfa9a021e2261e336404fe7d2c9f841e2de71cf133591d6ed0d8e3499
- Size of remote file:
- 301 MB
- SHA256:
- 0389440a1800bab016af229be6e65fb504b4802aeab8ab18beadd9acd872fe3a
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