Instructions to use ArthurZ/von with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArthurZ/von with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArthurZ/von", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Decision config without adapter; calibration and noul band are decision settings
Browse files- decision_config.json +12 -1
- decision_head/config.json +0 -14
decision_config.json
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@@ -6,5 +6,16 @@
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"false"
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],
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"sort_choices": false,
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"
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}
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"false"
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],
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"sort_choices": false,
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"calibration": {
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"bias": 2.0151,
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"entropy": -3.2369,
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"hi": 12.0,
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"lo": 0.3,
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"log_tokens": 11.4916,
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"n_options": -3.5574
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},
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"noul_band": [
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0.8,
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0.1
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]
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}
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decision_head/config.json
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"architectures": [
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"VonDecisionHead"
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],
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"calibration": {
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"bias": 2.0151,
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"entropy": -3.2369,
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"hi": 12.0,
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"lo": 0.3,
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"log_tokens": 11.4916,
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"n_options": -3.5574
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},
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"dtype": "float32",
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"model_type": "von",
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"noul_band": [
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0.8,
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0.1
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],
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"noul_prior": {
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"a": -0.5,
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"b": 0.3
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},
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"sliding_window": 64,
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"temperature": 2.2,
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"transformers_version": "5.19.0.dev0"
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}
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"architectures": [
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"VonDecisionHead"
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],
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"dtype": "float32",
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"model_type": "von",
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"noul_prior": {
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"a": -0.5,
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"b": 0.3
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},
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"transformers_version": "5.19.0.dev0"
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}
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