Visual Document Retrieval
Transformers
Safetensors
multilingual
neomme
multimodal
document-retrieval
late-interaction
dense-retrieval
Instructions to use Hcompany/NeoMME-260M-Retriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hcompany/NeoMME-260M-Retriever with Transformers:
# Load model directly from transformers import AutoProcessor, NeoMMEForRetrieval processor = AutoProcessor.from_pretrained("Hcompany/NeoMME-260M-Retriever") model = NeoMMEForRetrieval.from_pretrained("Hcompany/NeoMME-260M-Retriever", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Hcompany/NeoMME-260M-Retriever: direct link, hf CLI and curl.
- Browser
- Download file 10.2 MB
-
https://huggingface.co/Hcompany/NeoMME-260M-Retriever/resolve/main/tokenizer.json
- Command line
-
hf download hf://Hcompany/NeoMME-260M-Retriever/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Hcompany/NeoMME-260M-Retriever/resolve/main/tokenizer.json
10.2 MB
File too large to display, you can check the raw version instead.