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
Commit ·
9e99738
1
Parent(s): b38faa3
Upload model
Browse files- config.json +2 -2
- pytorch_model.bin +2 -2
config.json
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{
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"_name_or_path": "/home/wim/Documents/datascience-vraag-antwoord-systeem/
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"architectures": [
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"T5Model"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.25.1",
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"use_cache": true,
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"vocab_size":
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}
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{
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"_name_or_path": "/home/wim/Documents/datascience-vraag-antwoord-systeem/weights",
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"architectures": [
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"T5Model"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.25.1",
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"use_cache": true,
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"vocab_size": 5778
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:f58e771cde5d310e72f4553bd33b996392f318e375b7eea1dd2a4256a5b355e6
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size 35329596
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