Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-nl40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-nl40 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-nl40") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-nl40") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fd115b50f834b8d3e825950079fae62a4195c9d454fec81597de3cdce639c1f
- Size of remote file:
- 1.24 GB
- SHA256:
- 6a5110da57eb876f15c28c11461942382455f11c5e40c1c1a787a4e806262896
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