Instructions to use thoddnn/colqwen2-v1.0-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thoddnn/colqwen2-v1.0-mlx with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("thoddnn/colqwen2-v1.0-mlx") model = AutoModelForPreTraining.from_pretrained("thoddnn/colqwen2-v1.0-mlx") - ColPali
How to use thoddnn/colqwen2-v1.0-mlx with ColPali:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- MLX
How to use thoddnn/colqwen2-v1.0-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir colqwen2-v1.0-mlx thoddnn/colqwen2-v1.0-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio