Instructions to use rishanthrajendhran/IdeaLens-Qwen3.5-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishanthrajendhran/IdeaLens-Qwen3.5-9B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rishanthrajendhran/IdeaLens-Qwen3.5-9B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rishanthrajendhran/IdeaLens-Qwen3.5-9B") model = AutoModelForSequenceClassification.from_pretrained("rishanthrajendhran/IdeaLens-Qwen3.5-9B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download thresholds.json from rishanthrajendhran/IdeaLens-Qwen3.5-9B: direct link, hf CLI and curl.
- Browser
- Download file 2.7 kB
-
https://huggingface.co/rishanthrajendhran/IdeaLens-Qwen3.5-9B/resolve/main/thresholds.json
- Command line
-
hf download hf://rishanthrajendhran/IdeaLens-Qwen3.5-9B/thresholds.json
-
curl -L -o thresholds.json https://huggingface.co/rishanthrajendhran/IdeaLens-Qwen3.5-9B/resolve/main/thresholds.json
2.7 kB
| { | |
| "model": "rishanthrajendhran/IdeaLens-Qwen3.5-9B", | |
| "input": "outline", | |
| "flag_rule": "flag the document as AI when P(human) < cut", | |
| "calibration": { | |
| "data": "WildOutlines, calibration split (human documents only)", | |
| "scores_from": "the training run's stored predictions on the calibration split", | |
| "n_humans": 80000, | |
| "n_per_format": { | |
| "Academic Writing": 10000, | |
| "Creative Writing": 10000, | |
| "Knowledge Article": 10000, | |
| "News Article": 10000, | |
| "Nonfiction Writing": 10000, | |
| "Personal About Page": 10000, | |
| "Personal Blog": 10000, | |
| "User Reviews": 10000 | |
| } | |
| }, | |
| "method": { | |
| "global": "the target-FPR quantile of P(human) over all calibration humans", | |
| "per_group": "the group's own quantile, shrunk toward the global cut with weight n / (n + 2500)", | |
| "min_group_humans": 200, | |
| "estimability": "a cut at FPR q is given only when q * n >= 25 calibration humans", | |
| "missing_cut": "no cut for a group means none could be estimated; do not substitute the global cut" | |
| }, | |
| "fpr_targets": [ | |
| 0.001, | |
| 0.005, | |
| 0.01, | |
| 0.02, | |
| 0.05 | |
| ], | |
| "global": { | |
| "0.001": 0.003707252675667405, | |
| "0.005": 0.01640303246676922, | |
| "0.01": 0.05184546858072281, | |
| "0.02": 0.2267836481332779, | |
| "0.05": 0.7988152503967285 | |
| }, | |
| "per_format": { | |
| "0.005": { | |
| "Academic Writing": 0.04727219890058042, | |
| "Creative Writing": 0.05972421388328075, | |
| "Knowledge Article": 0.014190074428915978, | |
| "News Article": 0.012068823006004096, | |
| "Nonfiction Writing": 0.010581116750836372, | |
| "Personal About Page": 0.03719500859081746, | |
| "Personal Blog": 0.02435279144346715, | |
| "User Reviews": 0.021802632786333563 | |
| }, | |
| "0.01": { | |
| "Academic Writing": 0.23735628205537798, | |
| "Creative Writing": 0.2676600256562234, | |
| "Knowledge Article": 0.030818174287676813, | |
| "News Article": 0.03978466540575028, | |
| "Nonfiction Writing": 0.023090352326631546, | |
| "Personal About Page": 0.10573142915964126, | |
| "Personal Blog": 0.11597977429628377, | |
| "User Reviews": 0.12762535995244983 | |
| }, | |
| "0.02": { | |
| "Academic Writing": 0.612546198964119, | |
| "Creative Writing": 0.5307195731401444, | |
| "Knowledge Article": 0.0978253766298294, | |
| "News Article": 0.15687383711338043, | |
| "Nonfiction Writing": 0.08272563797235491, | |
| "Personal About Page": 0.33573210537433623, | |
| "Personal Blog": 0.4521883040666581, | |
| "User Reviews": 0.42347626316547393 | |
| }, | |
| "0.05": { | |
| "Academic Writing": 0.9170403957366944, | |
| "Creative Writing": 0.8519057559967042, | |
| "Knowledge Article": 0.5394924020767213, | |
| "News Article": 0.7145081496238709, | |
| "Nonfiction Writing": 0.49812899351119994, | |
| "Personal About Page": 0.8100331258773804, | |
| "Personal Blog": 0.8474562239646912, | |
| "User Reviews": 0.8452128887176513 | |
| } | |
| } | |
| } | |