Video-Text-to-Text
Transformers
Safetensors
English
Chinese
moss_vl
feature-extraction
MOSS-VL
image-understanding
video-understanding
bitsandbytes
NF4
quantized
custom_code
4-bit precision
Instructions to use OpenMOSS-Team/MOSS-VL-Instruct-0708-NF4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-VL-Instruct-0708-NF4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-VL-Instruct-0708-NF4", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from OpenMOSS-Team/MOSS-VL-Instruct-0708-NF4: direct link, hf CLI and curl.
- Browser
- Download file 122 Bytes
-
https://huggingface.co/OpenMOSS-Team/MOSS-VL-Instruct-0708-NF4/resolve/main/processor_config.json
- Command line
-
hf download hf://OpenMOSS-Team/MOSS-VL-Instruct-0708-NF4/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/OpenMOSS-Team/MOSS-VL-Instruct-0708-NF4/resolve/main/processor_config.json
122 Bytes
| { | |
| "auto_map": { | |
| "AutoProcessor": "processing_moss_vl.MossVLProcessor" | |
| }, | |
| "processor_class": "MossVLProcessor" | |
| } | |