Video-Text-to-Text
Transformers
Safetensors
English
qwen3_vl
image-text-to-text
video-temporal-grounding
temporal-localization
confidence-estimation
Instructions to use Alibaba-VELLDEPTH/CTVG-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alibaba-VELLDEPTH/CTVG-4B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Alibaba-VELLDEPTH/CTVG-4B") model = AutoModelForMultimodalLM.from_pretrained("Alibaba-VELLDEPTH/CTVG-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download release.json from Alibaba-VELLDEPTH/CTVG-4B: direct link, hf CLI and curl.
- Browser
- Download file 2.33 kB
-
https://huggingface.co/Alibaba-VELLDEPTH/CTVG-4B/resolve/main/release.json
- Command line
-
hf download hf://Alibaba-VELLDEPTH/CTVG-4B/release.json
-
curl -L -o release.json https://huggingface.co/Alibaba-VELLDEPTH/CTVG-4B/resolve/main/release.json
2.33 kB
| { | |
| "format_version": 1, | |
| "model_name": "CTVG-4B", | |
| "base_model": "MCG-NJU/TimeLens2-4B", | |
| "base_model_revision": "ddbb6cb944f13ce21e59e85da23c5f356107260e", | |
| "step": 200, | |
| "checkpoint_marker_sha256": "24f30278545ad7359597fb1a68f7912818a6f0ea20d08db39708b752c1cf699b", | |
| "model_files": { | |
| "added_tokens.json": "c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680", | |
| "chat_template.jinja": "3636d0f0bd6bef02654cdffdc447b79cb2cef8ab02cc75267345946291a489e4", | |
| "config.json": "6e1ccd900c0908bebd7215ec29f3b577a57c6c6904c1c3dc587b9b1c603368c2", | |
| "generation_config.json": "3ff2e83a0510cccccc85c8c96c7df4207985c098b526d798bc2bc68e50bb1a41", | |
| "merges.txt": "8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5", | |
| "model-00001-of-00003.safetensors": "4cf28ff4cf63b1b62bc93369de6bf1fcf9d6e089ff7d7c2fea1f4f5bf39108c9", | |
| "model-00002-of-00003.safetensors": "ac468ace11eb674b72f415d49abd3def9cee04df0d5c9dba32ae91ae6ca890d4", | |
| "model-00003-of-00003.safetensors": "7da46069668382c60c3a65d8fcb3d81e2ca3ca419e14de5617c61af2d318f6df", | |
| "model.safetensors.index.json": "5d1f48a7a88e67140e393b14a4d255902a58f1e50bbc8664a8f8d9d9d20d7d19", | |
| "preprocessor_config.json": "e8090898ad9d1235c6d671b90b01f2d8803722f280d65e5ef77372ad53f8e03f", | |
| "special_tokens_map.json": "76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd", | |
| "tokenizer.json": "aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4", | |
| "tokenizer_config.json": "36725cd34b38ac8ce1d0cd4d5df2c7ba7710446150c6d75bc098206ac6425eb1", | |
| "video_preprocessor_config.json": "d2619da89e3660a41a656b2a57fa7a60f2845c3e4ac37f010e6672a567cf2800", | |
| "vocab.json": "ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910" | |
| }, | |
| "head": { | |
| "weights": "span-confidence-head.safetensors", | |
| "config": "span-head-config.json", | |
| "sha256": "a62ee7b92e7f3a61f92279527c1b2ca58a16641dd9df3191d92c1b543528202a", | |
| "updates": 150, | |
| "config_sha256": "70154373c88467f6bf246d8a63f31797a4bc752e6a6388badbbb3a7e09c1df2d" | |
| }, | |
| "video_contract": { | |
| "fps": 2.0, | |
| "min_pixels": 2048, | |
| "total_pixels": 8388608 | |
| }, | |
| "max_new_tokens": 512, | |
| "context_tokens": 16384, | |
| "candidate_limits": { | |
| "max_unique": 32, | |
| "duplicate_patience": 3, | |
| "max_total": 40 | |
| }, | |
| "nms_iou": 0.3 | |
| } | |