Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-nl48 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-nl48 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-nl48") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-nl48") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1b3e3e04383998bfb357fd63c30fdd5dd6a325b649b53fb239f4269a70a8ba7
- Size of remote file:
- 3.27 GB
- SHA256:
- eaadc7c9ca0feb9e3a7cf4f699a2cd8045f342921c3c9e52172bbf1a232ba54b
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