Text Classification
Transformers
Safetensors
English
Turkish
German
qwen3_5
image-text-to-text
decision-model
calibration
conformal-prediction
uncertainty
reasoning
routing
triage
jev
typesafe
qwen3.5
english
Instructions to use mertkayacs/Deem-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mertkayacs/Deem-4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mertkayacs/Deem-4B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mertkayacs/Deem-4B") model = AutoModelForMultimodalLM.from_pretrained("mertkayacs/Deem-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K