Text Classification
Transformers
TensorBoard
Safetensors
English
topic-classification
sentiment
spam-detection
social-media
modernbert
multi-head
Instructions to use haileyok/microblog-topic-classifier-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haileyok/microblog-topic-classifier-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="haileyok/microblog-topic-classifier-v4")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("haileyok/microblog-topic-classifier-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
23 days ago
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Model card: describe this model on its own (no version comparisons); Jev is a model
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v4: image text, attachments, and labels in the input; sentiment, critical, ad, engagement bait, spam, and self-promotion signals; trained on recent posts too
Verified signaturePrevious release (v3-blend) is revision 9591be1bd8c1a4f51b9557e796a083baf0ad63a1.cc94070
24 days ago
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v3-blend: first release
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