Text Classification
Transformers
Safetensors
English
Chinese
qwen3_5
image-text-to-text
decision-model
system-one
decision-index
lora-merged
model-soup
Instructions to use PelaAI/KnowLine-4B-Gen2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PelaAI/KnowLine-4B-Gen2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PelaAI/KnowLine-4B-Gen2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("PelaAI/KnowLine-4B-Gen2") model = AutoModelForMultimodalLM.from_pretrained("PelaAI/KnowLine-4B-Gen2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from PelaAI/KnowLine-4B-Gen2: direct link, hf CLI and curl.
- Browser
- Download file 6.72 MB
-
https://huggingface.co/PelaAI/KnowLine-4B-Gen2/resolve/main/vocab.json
- Command line
-
hf download hf://PelaAI/KnowLine-4B-Gen2/vocab.json
-
curl -L -o vocab.json https://huggingface.co/PelaAI/KnowLine-4B-Gen2/resolve/main/vocab.json
6.72 MB
File too large to display, you can check the raw version instead.