Text Classification
Transformers
English
Indonesian
code
security
code-review
static-analysis
vulnerability-detection
sarif
sliding-window-attention
spark
cpp
avx2
awq
experimental
Instructions to use wxsys/spark-servitor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wxsys/spark-servitor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wxsys/spark-servitor")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wxsys/spark-servitor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
11 days ago
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docs: note deterministic crc32 tokenizer fix in Phase 0
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docs: replace unverified benchmark claims with held-out evaluation and architecture disclosures
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24 days ago
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docs: add available model variants (Slim 1.3GB & Baseline 1.6GB)
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docs: fix markdown formatting by replacing brittle KaTeX with clean ASCII diagrams
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docs: add Spark-Servitor model card and specifications
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