Text Classification
Transformers
Safetensors
English
Chinese
gemma4
image-text-to-text
decision-model
system-one
decision-index
lora-merged
Instructions to use PelaAI/KnowLine-31B-Gen1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PelaAI/KnowLine-31B-Gen1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PelaAI/KnowLine-31B-Gen1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("PelaAI/KnowLine-31B-Gen1") model = AutoModelForMultimodalLM.from_pretrained("PelaAI/KnowLine-31B-Gen1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Today
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Model card: remove internal evaluation details from the selection notes
Verified signatureSteps 4 and 6 of 'How Gen1 was made': internal check numbers and the sibling comparison table removed. Weights, code and all other files unchanged.8f052a8
5 days ago
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update README.md, README.zh.md, SHA256SUMS
Verified signature986803e -
update README.md, README.zh.md, INFERENCE.md, SHA256SUMS
Verified signature1fc9d4a -
KnowLine-31B-Gen1: LoRA fine-tune of gemma-4-31B-it averaged with the base (0.75 / 0.25), readout temperature 1.44 (bf16)
Verified signature1df3976