Instructions to use josh-oo/news-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use josh-oo/news-classifier with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, BertForSequenceClassificationAdapters tokenizer = AutoTokenizer.from_pretrained("josh-oo/news-classifier") model = BertForSequenceClassificationAdapters.from_pretrained("josh-oo/news-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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LRP-ready model
c70d86a
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Upload user_mapping.json with huggingface_hub
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Trained again on cleaned architecture
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Trained again on cleaned architecture
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Upload user_mapping.json with huggingface_hub
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First full upload
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First full upload
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First full upload
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First full upload
09262c6
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Negative sampling training + contrastive loss
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Negative sampling training + contrastive loss
1514e21
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Negative sampling training
a82a651
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Added tokenizer
3552206
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Adapter training reduced embedding size test
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Adapter training reduced embedding size
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Update config.json
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Update config.json
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Update config.json
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Adapter training reduced embedding size
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Adapter training
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MIND trained for 10 epochs on fixed balanced data without user_embedding initialization + contrastive loss
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MIND trained for 3 epochs on fixed balanced data without user_embedding initialization + contrastive loss
1f43d0a
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MIND trained for 3 epochs on fixed balanced data without user_embedding initialization
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MIND trained for 2 epochs on balanced data without user_embedding initialization
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MIND trained for 90min without user_embedding initialization
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MIND initially trained for 30min
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One attention head
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Initial commit
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initial commit
Joshua Oehms6c36016