Text Classification
Transformers
Safetensors
English
modernbert
orality
linguistics
rhetorical-analysis
Eval Results (legacy)
text-embeddings-inference
Instructions to use HavelockAI/bert-marker-subtype with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HavelockAI/bert-marker-subtype with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HavelockAI/bert-marker-subtype")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HavelockAI/bert-marker-subtype") model = AutoModelForSequenceClassification.from_pretrained("HavelockAI/bert-marker-subtype") - Notebooks
- Google Colab
- Kaggle
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### Test Set Classification Report
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<details><summary>Click to expand per-class precision/recall/F1/support</summary>
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precision recall f1-score support
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