Instructions to use dxkrnn/blipball with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dxkrnn/blipball with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("dxkrnn/blipball") model = AutoModelForMultimodalLM.from_pretrained("dxkrnn/blipball", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dxkrnn/blipball: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
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https://huggingface.co/dxkrnn/blipball/resolve/main/tokenizer.json
- Command line
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hf download hf://dxkrnn/blipball/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/dxkrnn/blipball/resolve/main/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.