Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-xl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-xl") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-xl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3fec9f5c7453326c709cfc2b47a14a2fc194de24d96c8031fc72376d68af160
- Size of remote file:
- 11.4 GB
- SHA256:
- 15a428d978042d04d03c9c9e460b2188f5c7ef08b514a31b9383c02b630c4db8
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