Instructions to use pruhtopia/bert-toc-classification-95k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pruhtopia/bert-toc-classification-95k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pruhtopia/bert-toc-classification-95k")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pruhtopia/bert-toc-classification-95k") model = AutoModelForSequenceClassification.from_pretrained("pruhtopia/bert-toc-classification-95k") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- text: I love AutoTrain
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datasets:
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- pruhtopia/multilingual-bert-toc-95k-dataset
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# Model Trained Using AutoTrain
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8: 'Table',
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9: 'Text',
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10: 'Title']
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## Validation Metrics
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loss: 0.5102838277816772
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- text: I love AutoTrain
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datasets:
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- pruhtopia/multilingual-bert-toc-95k-dataset
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license: apache-2.0
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# Model Trained Using AutoTrain
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8: 'Table',
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9: 'Text',
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10: 'Title']
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- sample usage notebook [here](https://colab.research.google.com/drive/1tSpV0RC12LDNFbWEq6kdiUCIJ8DkHHU_?usp=sharing)
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## Validation Metrics
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loss: 0.5102838277816772
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