Feature Extraction
Transformers
Safetensors
qwen2_5_vl
pixel-text
visual-text-embedding
vision-encoder
multilingual
visual-document-retrieval
Instructions to use Pixel-Linguist/Pixel-Linguist-II-Midtrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pixel-Linguist/Pixel-Linguist-II-Midtrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Pixel-Linguist/Pixel-Linguist-II-Midtrain")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Pixel-Linguist/Pixel-Linguist-II-Midtrain") model = AutoModel.from_pretrained("Pixel-Linguist/Pixel-Linguist-II-Midtrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!