How to use thoddnn/colqwen2-v1.0-mlx-4bit with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("thoddnn/colqwen2-v1.0-mlx-4bit") model = AutoModelForPreTraining.from_pretrained("thoddnn/colqwen2-v1.0-mlx-4bit")
How to use thoddnn/colqwen2-v1.0-mlx-4bit 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
How to use thoddnn/colqwen2-v1.0-mlx-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir colqwen2-v1.0-mlx-4bit thoddnn/colqwen2-v1.0-mlx-4bit
