Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-nl4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-nl4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-nl4") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-nl4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c6b07602008ee7e5d87d3856a9df5f9d39b0aad320771302ee7e9031d780ee1
- Size of remote file:
- 601 MB
- SHA256:
- cda27a7381c193b96a926a46fc990f28ba7388ed1486ba73d4356c4f9475f4cd
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