Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-nl40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-nl40 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-nl40") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-nl40") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bcab0522727c00cee81a36e577e6000e666719fcc0d5f9f0cf28f61b23e5792
- Size of remote file:
- 2.74 GB
- SHA256:
- 434de3d7c1fbf6faf0aa31ba51e4461060832c4eab4aaf84028b4dd6adc53ca1
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