Text Classification
Transformers
Safetensors
English
qwen3_5
image-text-to-text
decision-model
classification
calibration
routing
guardrails
vision
multimodal
baseten
Eval Results
Instructions to use baselabs/joey-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baselabs/joey-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="baselabs/joey-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("baselabs/joey-1") model = AutoModelForMultimodalLM.from_pretrained("baselabs/joey-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add safeagents judge bench results
#1
by ybelkada HF Staff - opened
.eval_results/safeagents-judge-bench.yaml
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- dataset:
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id: harness-hub/safeagents-judge-bench
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task_id: balanced_accuracy
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value: 0.502
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date: "2026-10-30"
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source:
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url: https://huggingface.co/datasets/harness-hub/safeagents-judge-bench
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name: "safeagents judge bench v0, test split, run on NVIDIA L4 (HF Jobs)"
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- dataset:
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id: harness-hub/safeagents-judge-bench
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task_id: auroc
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value: 0.482
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date: "2026-10-30"
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source:
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url: https://huggingface.co/datasets/harness-hub/safeagents-judge-bench
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name: "safeagents judge bench v0, test split, run on NVIDIA L4 (HF Jobs)"
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- dataset:
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id: harness-hub/safeagents-judge-bench
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task_id: false_block_rate
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value: 0.154
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date: "2026-10-30"
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source:
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url: https://huggingface.co/datasets/harness-hub/safeagents-judge-bench
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name: "safeagents judge bench v0, test split, run on NVIDIA L4 (HF Jobs)"
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- dataset:
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id: harness-hub/safeagents-judge-bench
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task_id: category_macro_f1
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value: 0.219
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date: "2026-10-30"
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source:
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url: https://huggingface.co/datasets/harness-hub/safeagents-judge-bench
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name: "safeagents judge bench v0, test split, run on NVIDIA L4 (HF Jobs)"
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