Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-nl24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-nl24 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-nl24") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-nl24") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 940bf1ecf07b9fd8f3b9e561c793a80f2805c15c7c52422ba9ab18a270bc3172
- Size of remote file:
- 1.69 GB
- SHA256:
- d61c0012bc292c679aee4e3d01779f049010b542c3bfb0b6625d78312c39a127
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