Instructions to use rishanthrajendhran/IdeaLens-Qwen3.5-9B-PerItem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishanthrajendhran/IdeaLens-Qwen3.5-9B-PerItem with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rishanthrajendhran/IdeaLens-Qwen3.5-9B-PerItem")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rishanthrajendhran/IdeaLens-Qwen3.5-9B-PerItem") model = AutoModelForSequenceClassification.from_pretrained("rishanthrajendhran/IdeaLens-Qwen3.5-9B-PerItem", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
23 days ago
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Card: remove the access-request prompt (the repo is not gated)
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Card: cite the arXiv paper (2610.06778)
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27 days ago
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License: CC BY-NC-SA 4.0
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28 days ago
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Card: link the IdeaLens collection
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Card: quick start with the idealens package (classify, extract, score)
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Card: link the idealens package and GitHub repo; full card
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Rename the corpus IdeaLens-1M -> WildOutlines
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29 days ago
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Add calibrated thresholds (IdeaLens-1M calibration split)
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rename to ideadet convention
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best-so-far checkpoint: step 83005, epoch 0.4167, sel 0.2608
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initial commit
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