Model Details
Full Model IDvllm-sr/d3-mini
Pipeline / Taskzero-shot-classification
Librarytransformers
Downloads (all-time)35.1K
Likes43
Last Modified10/17/2026
Author / Orgvllm-sr
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("zero-shot-classification", model="vllm-sr/d3-mini")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsqwen3_5feature-extractionzero-shot-classificationdecision-modelclassificationsystem-onemultimodalvisionvideocustom_codebase_model:Qwen/Qwen3.5-4Bbase_model:finetune:Qwen/Qwen3.5-4Blicense:apache-2.0eval-resultsendpoints_compatibleregion:us
More zero-shot-classification Models
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: zero-shot-classification
This model is designed for the zero-shot-classification task. Explore more models for this use case.
All zero-shot-classification Models →📊 Popularity
⬇ Downloads35.1K
❤️ Community Likes43
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.