Text Classification
Transformers
Safetensors
English
qwen3_5
image-text-to-text
typed-decisions
calibrated-classification
system-one
classification
structured-prediction
candidate-logit
jev
single-forward-pass
commercial-use
Instructions to use Raymond1122/metask-jev-4b-policy-mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raymond1122/metask-jev-4b-policy-mix with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Raymond1122/metask-jev-4b-policy-mix")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Raymond1122/metask-jev-4b-policy-mix") model = AutoModelForMultimodalLM.from_pretrained("Raymond1122/metask-jev-4b-policy-mix", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 164 Bytes
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"transformers_version": "5.17.0",
"use_cache": true
}
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