Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-nl24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-nl24 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-nl24") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-nl24", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7cd72bd2c28f451ffad77ccaee38e72865d60b7f6b6ce4059e848f3ab52332c
- Size of remote file:
- 209 MB
- SHA256:
- af208021fcd29f73cdf8e45f61eac9df4555f60392bdf0f14658938e817347d3
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