Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-nl4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-nl4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-nl4") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-nl4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 071ecf8c469f382d42f9a788a4dfbb7563af049c3ba0dfc530de30e8325c15b1
- Size of remote file:
- 363 MB
- SHA256:
- ef9d87db19aa6398c4a2f44bbfc77c1163e29ee8b57ad1b08e8d0e6ed8e8d5f2
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