Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-nl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-nl2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-nl2") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-nl2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cbd5062e84486ecea50561e9b27a554da7a0f6c8c04b5b31e4082b3f6228054
- Size of remote file:
- 125 MB
- SHA256:
- eca519c590266aaf343bb665ebf22beed3b3a57fc66735ede0f5c3740b46f815
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