Text Classification
Transformers
Safetensors
English
Ukrainian
qwen3_5
image-text-to-text
openjudgement
judgment
classification
structured-output
preview
custom-code
Instructions to use kitaniai/OpenJudgement-4B-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kitaniai/OpenJudgement-4B-Preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kitaniai/OpenJudgement-4B-Preview")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("kitaniai/OpenJudgement-4B-Preview") model = AutoModelForMultimodalLM.from_pretrained("kitaniai/OpenJudgement-4B-Preview", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 514 Bytes
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"model": "Qwen/Qwen3.5-4B",
"revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
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"splits": {
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"validation": {
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"calibration": {
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"test": {
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} |