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: 208 Bytes
acc49a4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"bos_token_id": 2,
"do_sample": true,
"eos_token_id": [
1,
106,
50
],
"pad_token_id": 0,
"temperature": 1.0,
"top_k": 64,
"top_p": 0.95,
"transformers_version": "5.5.0.dev0"
}
|