Instructions to use 5CD-AI/ColVintern-1B-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 5CD-AI/ColVintern-1B-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="5CD-AI/ColVintern-1B-v1", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("5CD-AI/ColVintern-1B-v1", trust_remote_code=True, device_map="auto") - ColPali
How to use 5CD-AI/ColVintern-1B-v1 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
- Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from 5CD-AI/ColVintern-1B-v1: direct link, hf CLI and curl.
- Browser
- Download file 116 Bytes
-
https://huggingface.co/5CD-AI/ColVintern-1B-v1/resolve/5030b76b6943b0097edb83c27862850f45b472ee/preprocessor_config.json
- Command line
-
hf download hf://5CD-AI/ColVintern-1B-v1@5030b76b6943b0097edb83c27862850f45b472ee/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/5CD-AI/ColVintern-1B-v1/resolve/5030b76b6943b0097edb83c27862850f45b472ee/preprocessor_config.json
116 Bytes
| { | |
| "auto_map": { | |
| "AutoProcessor": "5CD-AI/ColVintern-1B-v1--processing_colinternvl2.ColInternVL2Processor" | |
| } | |
| } |