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:
- d2e60e01da9b1898465f059d7d5cfe2790c58a7eef54f46530a901725836968c
- Size of remote file:
- 36.1 MB
- SHA256:
- 04776bd11b393edfbb7e54c15197004a97d44ed40189e967b04afa4a9e8a9508
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