Zero-Shot Classification
Transformers
Safetensors
qwen3_5
feature-extraction
decision-model
classification
system-one
multimodal
vision
video
custom_code
Instructions to use vllm-sr/d3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vllm-sr/d3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="vllm-sr/d3", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("vllm-sr/d3", trust_remote_code=True) model = AutoModel.from_pretrained("vllm-sr/d3", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
serve on rocm fails: deployment `profile` removed in vllm-sr-rocm:latest ahead of every CLI that still emits it; no config/file workaround sticks
1
#3 opened about 13 hours ago
by
rodo
Quantized version for vLLM support
👀 1
1
#2 opened 3 days ago
by
BuiDoan
Demo for this model on Spaces
👍 1
2
#1 opened 5 days ago
by
multimodalart