Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-nl12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-nl12 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-nl12") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-nl12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73b7f458e0b80453d14163d4c71972f9503dc787f561ff2a4410a49b4744b782
- Size of remote file:
- 121 MB
- SHA256:
- e4f06a21b2957dbcbe727e6e603ef26b0f3be22039f36af0035fc43e9f29d33c
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