Text Classification
Transformers
Safetensors
English
Chinese
gemma4
image-text-to-text
decision-model
system-one
decision-index
lora-merged
Mixture of Experts
Instructions to use PelaAI/KnowLine-26B-A4B-Gen2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PelaAI/KnowLine-26B-A4B-Gen2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PelaAI/KnowLine-26B-A4B-Gen2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("PelaAI/KnowLine-26B-A4B-Gen2") model = AutoModelForMultimodalLM.from_pretrained("PelaAI/KnowLine-26B-A4B-Gen2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
acc49a4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
size 32169626
|