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
Commit History
-
Update metadata with huggingface_hub
Verified signaturec1937fa
-
Upload processor (#2)
Verified signature- Upload processor (303367bad44fd356d79827c5c2e2a9833e39ffa0) - Delete tokenizer_config.json (b24fb41e80d034e6d4a3fa0ab9d394c6d6a75574) - Upload tokenizer_config.json (6d9f91f2d68c05b06a8dde8cd79f40337029aeed)2c336fb
-
Upload ColPali (#1)
Verified signature- Upload ColPali (9f6110e72ebb37949b08b8f86cfadb2c6819d83b)6a1a8eb -
Upload config
Verified signature4618b42 -
Upload processor
Verified signaturef17c296 -
initial commit
Verified signaturedecc702