Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-nl6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-nl6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-nl6") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-nl6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59dc6535b6e3df63fd81c7faea848fc11848a5ed8bdbf10d8811c3dd82e3ce35
- Size of remote file:
- 77 MB
- SHA256:
- f268ab656c60b38f06e35e4501bbd3f4c0871ef625a97bc93c81ba13d0bc7408
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