Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-mini-nl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-mini-nl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-mini-nl8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-mini-nl8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4f5272ad2bd70bc61d872cb7e7eed2243bda2a9aa7c66d5aaa7b584637c1f99
- Size of remote file:
- 200 MB
- SHA256:
- aa9292a6ecdb5b772c81957595fa50f5c601c8e9c3cd8188348c5dc90ee1fffd
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