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:
- 7fdf9938676fdb7340affafbccb6e3ad579c27b72a523c7088fe0cd3520afc02
- Size of remote file:
- 363 MB
- SHA256:
- 9a1aaafda718d740860b1fc1659bdd0b67ebc1a4c561f5c5b7d3877052355089
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