Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-nl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-nl2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-nl2") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-nl2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4edb5fedf0e55523411be9d0fe19d81c9ff4192b347639bd9671cf159ddf0dfe
- Size of remote file:
- 231 MB
- SHA256:
- 09ebed2766c3b1583c37233c1af3d3d9dcc1e3507e7c4050e6193567a8acd5f4
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