Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-nl16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-nl16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-nl16") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-nl16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdfa78aacedfcc03fc1766c886ae20f530e38628b250f43aa60382a3afda4f12
- Size of remote file:
- 151 MB
- SHA256:
- d0a5022eaea94d0b2baaab5929d2bffaff9dc788860aa47da3567154b55bcfed
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