Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-xl-nl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-xl-nl2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-xl-nl2") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-xl-nl2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a6440b4a3161b23e7fc87701d3aab35bcd668dbce511c051209dfc631dd743e
- Size of remote file:
- 1.07 GB
- SHA256:
- 55a6fe02a57ff6f5293b2a44cae119ddcf2903fd4a2e2d397167143ddd0cf4e6
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