Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-nl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-nl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-nl8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-nl8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9625694ca158014c90d22bde1e5eb116f752a7f1a292b3438c31598ad2ec8740
- Size of remote file:
- 92 MB
- SHA256:
- f89ef5f29de92d4486a98b74afe19dea6afc142d35b83e6504647b621c029950
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