Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-nl24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-nl24 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-nl24") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-nl24", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ec8732bcc0b0593e0d1ff7d43d9426c18f97ad080b64d69e9991443c78186c2
- Size of remote file:
- 210 MB
- SHA256:
- 66612a131fc26d0391ec0434d220d67a29a222169dc6187b1ea63b52840830bd
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