Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-nl16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-nl16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-nl16") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-nl16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 701d482101c6f3641752d2485cc76ec15f70d213e36cb87a58aebc7f24372be9
- Size of remote file:
- 2.01 GB
- SHA256:
- c71a10991b0bb1e10c5885503c336ed17c082a4b022d73dd079567af9b2504b7
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