Text Classification
Transformers
Safetensors
English
modernbert
ai-text-detection
idea-provenance
text-embeddings-inference
Instructions to use rishanthrajendhran/IdeaLens-ModernBERT-L-RolesOnly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishanthrajendhran/IdeaLens-ModernBERT-L-RolesOnly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rishanthrajendhran/IdeaLens-ModernBERT-L-RolesOnly")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rishanthrajendhran/IdeaLens-ModernBERT-L-RolesOnly") model = AutoModelForSequenceClassification.from_pretrained("rishanthrajendhran/IdeaLens-ModernBERT-L-RolesOnly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Rename the corpus IdeaLens-1M -> WildOutlines
Browse files- thresholds.json +1 -1
thresholds.json
CHANGED
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@@ -3,7 +3,7 @@
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"input": "role sequence",
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"flag_rule": "flag the document as AI when P(human) < cut",
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"calibration": {
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-
"data": "
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"scores_from": "the training run's stored predictions on the calibration split",
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"n_humans": 80000,
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"n_per_format": {
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"input": "role sequence",
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"flag_rule": "flag the document as AI when P(human) < cut",
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"calibration": {
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+
"data": "WildOutlines, calibration split (human documents only)",
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"scores_from": "the training run's stored predictions on the calibration split",
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"n_humans": 80000,
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"n_per_format": {
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