Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-nl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-nl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-nl8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-nl8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9f0d30b0d59fa714c5cdef34b085de4af83ee3f641e7cb5cb2f1d69d8005dd2
- Size of remote file:
- 627 MB
- SHA256:
- c2b33ddd4b4b405f3f25bafa37cb0bf54d06b41ec9020db24e50679bd1b960f9
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