Video Classification
Cosmos
ONNX
Safetensors
PyTorch
cosmos-embed1
nvidia
video-text-retrieval
video-embeddings
physical-ai
anomaly-detection
lora
fine-tuned
transformer
custom_code
Instructions to use nvidia/Cosmos-Embed1-448p-anomaly-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use nvidia/Cosmos-Embed1-448p-anomaly-detection with Cosmos:
# 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 processor_config.json from nvidia/Cosmos-Embed1-448p-anomaly-detection: direct link, hf CLI and curl.
- Browser
- Download file 204 Bytes
-
https://huggingface.co/nvidia/Cosmos-Embed1-448p-anomaly-detection/resolve/main/processor_config.json
- Command line
-
hf download hf://nvidia/Cosmos-Embed1-448p-anomaly-detection/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/nvidia/Cosmos-Embed1-448p-anomaly-detection/resolve/main/processor_config.json
204 Bytes
| { | |
| "processor_class": "CosmosEmbed1Processor", | |
| "auto_map": { | |
| "AutoProcessor": "preprocessing_embed1.CosmosEmbed1Processor" | |
| }, | |
| "resolution": 448, | |
| "num_video_frames": 8, | |
| "max_txt_len": 128 | |
| } | |