Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-dl6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-dl6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-dl6") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-dl6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff958bab9350fb828c7e0ec5c2bf60547c43f330013c98eeafb4ca2d174958fc
- Size of remote file:
- 1.74 GB
- SHA256:
- 000d01a30c9dc9a5e50e8f274ec1f3e419d7db9f71bc3f35b76c4b8735e7c2e1
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