Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-nl6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-nl6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-nl6") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-nl6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea1b749007c073e8efa011115c2a03059a14949928b94b19d8ad9c72fff7d217
- Size of remote file:
- 77.2 MB
- SHA256:
- 262e2fa08a5f016493786852329f59e3dedb72608ecd657ec7d3245aaec22b96
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