Visual Document Retrieval
Transformers
Safetensors
ColPali
English
ultravbert
fill-mask
ultrabert
vision-language
multimodal
document-retrieval
vidore
custom_code
Instructions to use hf-internal-testing/testing-dummy-UltraVBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/testing-dummy-UltraVBERT with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMaskedLM processor = AutoProcessor.from_pretrained("hf-internal-testing/testing-dummy-UltraVBERT", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("hf-internal-testing/testing-dummy-UltraVBERT", trust_remote_code=True, device_map="auto") - ColPali
How to use hf-internal-testing/testing-dummy-UltraVBERT 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 tokenizer.json from hf-internal-testing/testing-dummy-UltraVBERT: direct link, hf CLI and curl.
- Browser
- Download file 3.53 MB
-
https://huggingface.co/hf-internal-testing/testing-dummy-UltraVBERT/resolve/main/tokenizer.json
- Command line
-
hf download hf://hf-internal-testing/testing-dummy-UltraVBERT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/testing-dummy-UltraVBERT/resolve/main/tokenizer.json
3.53 MB
File too large to display, you can check the raw version instead.