Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-nl16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-nl16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-nl16") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-nl16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e837cd809e6c693104eb044c4c29fc16d644c1b8fa793de2f91b719f833d0120
- Size of remote file:
- 1.16 GB
- SHA256:
- 590a37c01eba719da96861802504e2c63733fbe1ed2e49c50daa47bfd8fdf407
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