Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-dl4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-dl4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-dl4") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-dl4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 645b6bb4f96ca3f2ecab8fd7b43ea76edf1cfafabf38b47c16f3132829f9159d
- Size of remote file:
- 1.61 GB
- SHA256:
- 70d4e415262cd8efa5312db88190c7eb1b8c20de9b84ddff489aa7a24a8f2897
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