Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-xl-nl12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-xl-nl12 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-xl-nl12") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-xl-nl12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb19c696f588e43f370786a4f3de933377d1096d1178f7f9403c6a733b39b09c
- Size of remote file:
- 5.77 GB
- SHA256:
- 6ead850b4244758dfe274e53a7d88bab549ad74edcb1f6866c1d85f5960387f5
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