How to use StandardThinking/StandardOne-8B-SH with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="StandardThinking/StandardOne-8B-SH")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("StandardThinking/StandardOne-8B-SH") model = AutoModelForMultimodalLM.from_pretrained("StandardThinking/StandardOne-8B-SH", device_map="auto")
https://huggingface.co/StandardThinking/StandardOne-8B-SH/resolve/c1264c3283edfa4ff1fdaeb4852ba4fed2e27b32/code/__pycache__/render.cpython-312.pyc
hf download hf://StandardThinking/StandardOne-8B-SH@c1264c3283edfa4ff1fdaeb4852ba4fed2e27b32/code/__pycache__/render.cpython-312.pyc
curl -L -o render.cpython-312.pyc https://huggingface.co/StandardThinking/StandardOne-8B-SH/resolve/c1264c3283edfa4ff1fdaeb4852ba4fed2e27b32/code/__pycache__/render.cpython-312.pyc
