Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-nl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-nl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-nl8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-nl8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24ca57d3836e802f7d9061955ab38d22a70b841af25b3f135308b897c860c896
- Size of remote file:
- 1.07 GB
- SHA256:
- e6a1c3a85c2142787ea774a39cadaaf54b65e84c7635d58e15478524834e1bff
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