Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-nl22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-nl22 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-nl22") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-nl22") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d440bce4922dd64914588416425c90aaa78f5fd467db96f57da32888211d849c
- Size of remote file:
- 712 MB
- SHA256:
- d0e5124fb1b2bc7f7ca54164d85557fdb15c22b9bc49bcb4921a0dff456dc8c4
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