Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-dl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-dl2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-dl2") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-dl2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb9626b2888d64fc9a58ee6e9562801419de614203ce6536a95e632cd41793ba
- Size of remote file:
- 1.47 GB
- SHA256:
- 7fb890705f255278fb7bac5bc3f7517e6be12a4a3460d987e3ec3e7ccf94d979
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