Text Classification
Transformers
Safetensors
English
Chinese
qwen3_5
image-text-to-text
decision-model
system-one
decision-index
lora-merged
Instructions to use PelaAI/KnowLine-4B-Gen1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PelaAI/KnowLine-4B-Gen1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PelaAI/KnowLine-4B-Gen1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("PelaAI/KnowLine-4B-Gen1") model = AutoModelForMultimodalLM.from_pretrained("PelaAI/KnowLine-4B-Gen1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
25 days ago
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Add knowline_engine.py (one-command Decision Index runs); --backend hf without accelerate
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knowline_server.py: accept chat roles the template rejects; return 500 instead of dropping the connection
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INFERENCE.md and knowline_server.py header: describe the front end directly
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Self-contained knowline_server.py front end; drop the llm2jev dependency
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KnowLine-4B-Gen1: merged bf16 weights (E step 5650), tokenizer, serving files
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