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
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README.md
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pipeline_tag:
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tags:
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- sentence-transformers
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- transformers
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Parameters of the fit()-Method:
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```
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{
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"epochs": 1,
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"evaluation_steps": 0,
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"evaluator": "NoneType",
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---
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pipeline_tag: text-classification
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tags:
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- sentence-transformers
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- transformers
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Parameters of the fit()-Method:
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```
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{
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"multi_target_strategy": "multi-output",
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"epochs": 1,
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"evaluation_steps": 0,
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"evaluator": "NoneType",
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