Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-xl-nl16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-xl-nl16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-xl-nl16") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-xl-nl16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fbbabfcdd6c08c3d02d48600260a2c22d04eac4364e996231f7dce460482fe6
- Size of remote file:
- 7.65 GB
- SHA256:
- cd10c9b30f6a85790dac078709ffa927ce500831bbcf10a1d8be730ff530c373
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