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") - Inference
- Notebooks
- Google Colab
- Kaggle
Link the joey-1 launch blog
Browse files
README.md
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<a href="https://www.baseten.co/library/joey-1/"><strong>Try on Baseten</strong></a> •
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<a href="https://labs.baseten.co/articles/mammoth-1-and-elephant-1-frontier-decision-models"><strong>Technical report</strong></a>
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<a href="https://www.baseten.co/library/joey-1/"><strong>Try on Baseten</strong></a> •
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<a href="https://labs.baseten.co/articles/mammoth-1-and-elephant-1-frontier-decision-models"><strong>Technical report</strong></a> •
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<a href="https://www.baseten.co/blog/decisions-for-a-penny-introducing-joey-1/"><strong>Blog</strong></a>
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