Video-Text-to-Text
Transformers
Safetensors
English
Chinese
moss_vl
feature-extraction
MOSS-VL
image-understanding
video-understanding
FP8
compressed-tensors
quantized
SGLang
custom_code
Instructions to use OpenMOSS-Team/MOSS-VL-Instruct-0708-FP8 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-FP8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-VL-Instruct-0708-FP8", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 592 Bytes
ace4683 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"auto_map": {
"AutoProcessor": "processing_moss_vl.MossVLProcessor",
"AutoImageProcessor": "processing_moss_vl.MossVLImageProcessorFast"
},
"size": {
"longest_edge": 16777216,
"shortest_edge": 4096
},
"multi_image_max_pixels": 201326592,
"patch_size": 16,
"temporal_patch_size": 1,
"merge_size": 2,
"image_mean": [
0.5,
0.5,
0.5
],
"image_std": [
0.5,
0.5,
0.5
],
"processor_class": "MossVLProcessor",
"image_processor_type": "MossVLImageProcessorFast"
} |