Zero-Shot Classification
Transformers
qwen3_5
feature-extraction
decision-model
system-one
semantic-router
vela
token-classification
named-entity-recognition
relation-extraction
pii-detection
hallucination-detection
content-safety
multimodal
custom_code
Instructions to use vllm-sr/vela3-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vllm-sr/vela3-lite with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="vllm-sr/vela3-lite", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("vllm-sr/vela3-lite", trust_remote_code=True) model = AutoModel.from_pretrained("vllm-sr/vela3-lite", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
5 days ago
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Return invalid_question for malformed span thresholds and instructions (#3)
- Return invalid_question for malformed span thresholds and instructions (ec538597c0d7af89b34eb8c5b0ce7223bff33c1c) Co-authored-by: Park Soobin <subin@users.noreply.huggingface.co>c789afd -
Keep each thread's adapter gate to itself (#2)
- Keep each thread's adapter gate to itself (bc6b52f224aff37cc10ba4b098cecd4207e448bc) Co-authored-by: Park Soobin <subin@users.noreply.huggingface.co>fb68004
6 days ago
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Decision Index: board numbers of 2026-10-28
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Family table: vela3-fast-vision is 0.3B
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Keep adapter passes out of d3's HIP graphs (#1)
- Keep adapter passes out of d3's HIP graphs (b8105e71a37dde60524835ab162610a99e066228) Co-authored-by: Park Soobin <subin@users.noreply.huggingface.co>af2e430
8 days ago
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Family table: vela3-fast-vision is 0.25B
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Add the GroundLM 2026 (EMNLP) citation
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9 days ago
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Final card for the release
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Card: Summary and Highlights at the top
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Vela 3.0
600728d