Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-nh24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-nh24 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-nh24") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-nh24") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 050b20b8d491734688df455fbff4ad976d014a82bc646ab1fc857d580c8424fe
- Size of remote file:
- 1.23 GB
- SHA256:
- cace7335f043211296094569701192cc4b3f4c55867aa5322f7604d599e18686
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