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:
- 7e88dc481ad476094c91ba4203d84fa3ea3c439c6005a397ec240fa2502d8a6d
- Size of remote file:
- 1.07 GB
- SHA256:
- 48b3528106739eb116740c214be5240b0791213e4a5959c2ca561dfaf60da688
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