Zero-Shot Classification
Transformers
Safetensors
qwen3_5
feature-extraction
decision-model
classification
system-one
multimodal
vision
video
custom_code
Eval Results
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
Seb-9B-v2: a 9B decision model for comparison (and a router result)
#8 opened 20 days ago
by
ironbcc
cuda-12.9
1
#6 opened 23 days ago
by
zhnagchenchne
Add LEXam (mcq_4_choices) eval result
#5 opened 25 days ago
by
HappyWindman555
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 28 days ago
by
rodo
Quantized version for vLLM support
👀 1
9
#2 opened 30 days ago
by
BuiDoan