TensorRT
ONNX
Safetensors
PyTorch
nvidia
tao
video-text-retrieval
video-embeddings
physical-ai
anomaly-detection
lora
fine-tuned
Instructions to use nvidia/InternVideo2-CLIP-anomaly-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use nvidia/InternVideo2-CLIP-anomaly-detection with TensorRT:
# 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 model.pth from nvidia/InternVideo2-CLIP-anomaly-detection: direct link, hf CLI and curl.
- Browser
- Download file 1.49 GB
-
https://huggingface.co/nvidia/InternVideo2-CLIP-anomaly-detection/resolve/refs%2Fpr%2F2/model.pth
- Command line
-
hf download hf://nvidia/InternVideo2-CLIP-anomaly-detection@refs/pr/2/model.pth
-
curl -L -o model.pth https://huggingface.co/nvidia/InternVideo2-CLIP-anomaly-detection/resolve/refs%2Fpr%2F2/model.pth
1.49 GB
- Xet hash:
- b36adbe7e6d48b4b7a03e2aace135182b282a913957abf11078d27069941e54a
- Size of remote file:
- 1.49 GB
- SHA256:
- 3df4b53004db96437bb28b85f9bd4cf3447379def19f1a9dbbd77d830f184e75
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