Instructions to use deetsml/HIMsetfitMultiLabelModel2epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deetsml/HIMsetfitMultiLabelModel2epochs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deetsml/HIMsetfitMultiLabelModel2epochs")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deetsml/HIMsetfitMultiLabelModel2epochs") model = AutoModel.from_pretrained("deetsml/HIMsetfitMultiLabelModel2epochs") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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@@ -4,7 +4,7 @@
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_final_layer_norm": false,
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"
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"architectures": [
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"BartModel"
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],
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_final_layer_norm": false,
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"multi_target_strategy": "multi-output",
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"architectures": [
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"BartModel"
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],
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