Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-nl48 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-nl48 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-nl48") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-nl48") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18783ab79eced424fbfcf1b9a1b6a0b2f6281d41121523837c87f9d81ab9402b
- Size of remote file:
- 1.48 GB
- SHA256:
- a00bd913077d10cafaa1bbd8d9c2f3d1077e8f7e43ee25464f9372f6e4da6cfa
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