Instructions to use hf-internal-testing/tiny-random-ColPaliForRetrieval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ColPaliForRetrieval with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-ColPaliForRetrieval") model = AutoModelForPreTraining.from_pretrained("hf-internal-testing/tiny-random-ColPaliForRetrieval") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bd21c9ce7732d58b79bba989a259ff2c3c50ab890a168d37ffb8902a45ce35e
- Size of remote file:
- 16.9 MB
- SHA256:
- 9e0ea21561e7f1e394cae8d2fa25a9052cc7c0666fb92b9d8a85f8a8f5321b1f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.