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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c22b0c081d0ec5bb31d423a0f6503e3d26351c7235dd65223bb144484ffeeb27
- Size of remote file:
- 225 MB
- SHA256:
- 5c7bb3522f712c9b16592eaa26f58b03a24a2a758ee2bebbf0343d394bb64e7c
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