Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-nl24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-nl24 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-nl24") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-nl24") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edf6d786b4ef9bac02f79cfc198f99b50204486eb625f333bb4df743c8dab7ef
- Size of remote file:
- 771 MB
- SHA256:
- cdcea6f51cf693900de5e9d10a5d4dcbee72f401feb4834e69fba6abc94e275c
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