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 +0 -1
config.json
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@@ -107,7 +107,6 @@
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"max_position_embeddings": 1024,
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"model_type": "bart",
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"multi_target_strategy": "multi-output",
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"position_embedding_type": "absolute",
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"normalize_before": false,
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"num_hidden_layers": 12,
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"output_past": false,
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"max_position_embeddings": 1024,
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| 108 |
"model_type": "bart",
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"multi_target_strategy": "multi-output",
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"normalize_before": false,
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"num_hidden_layers": 12,
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"output_past": false,
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