Instructions to use michaelfeil/colpali-v12-random-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/colpali-v12-random-testing with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, ColPali processor = AutoProcessor.from_pretrained("michaelfeil/colpali-v12-random-testing") model = ColPali.from_pretrained("michaelfeil/colpali-v12-random-testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from michaelfeil/colpali-v12-random-testing: direct link, hf CLI and curl.
- Browser
- Download file 34.6 MB
-
https://huggingface.co/michaelfeil/colpali-v12-random-testing/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://michaelfeil/colpali-v12-random-testing@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/michaelfeil/colpali-v12-random-testing/resolve/refs%2Fpr%2F1/tokenizer.json
34.6 MB
- Xet hash:
- 7c82a3353b584c887f8f4377f036fd93621dd76e3a85ef3829c9226341f14dea
- Size of remote file:
- 34.6 MB
- SHA256:
- 1ff84f53c290d0348c4e206da6094ef781cf8c0e482fec8b268a996b32257cfd
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