Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-nl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-nl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-nl8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-nl8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54ee9db92088ecd187a941b6e868b29bdc59f1a2b2a291d2894257f38bba5998
- Size of remote file:
- 91.7 MB
- SHA256:
- 626a7f87c7eb8700c0843444076966c260a93dff1459b2e7605e7ce59dc5a5bd
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