Transformers
TensorFlow
Safetensors
t5
text2text-generation
generated_from_keras_callback
text-generation-inference
Instructions to use kadasterdst/querygenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kadasterdst/querygenerator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kadasterdst/querygenerator") model = AutoModelForSeq2SeqLM.from_pretrained("kadasterdst/querygenerator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fac3a3bc2d149c110df72047c5c65cde38c18786833927fed6fe71c1950dfbc
- Size of remote file:
- 209 MB
- SHA256:
- 3d5ca8bb697e70303cee47e44613d48abefc2fcf739f227ed37f45df25cc2f3f
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