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 onnx/tokenizer/tokenizer.json from nvidia/InternVideo2-CLIP-anomaly-detection: direct link, hf CLI and curl.
- Browser
- Download file 3.64 MB
-
https://huggingface.co/nvidia/InternVideo2-CLIP-anomaly-detection/resolve/refs%2Fpr%2F2/onnx/tokenizer/tokenizer.json
- Command line
-
hf download hf://nvidia/InternVideo2-CLIP-anomaly-detection@refs/pr/2/onnx/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/nvidia/InternVideo2-CLIP-anomaly-detection/resolve/refs%2Fpr%2F2/onnx/tokenizer/tokenizer.json
3.64 MB
File too large to display, you can check the raw version instead.