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:
- 2821a23487c2355b680e047384f397b2041a8d6e7506fedb5f194ea4e25f60e5
- Size of remote file:
- 712 MB
- SHA256:
- f247dd2130c6d7d94aaaa13ff5ba19ac2089c24419a61c0d9e83bddf62b8b61d
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