Instructions to use xiaomoguhzz/VisionEncoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiaomoguhzz/VisionEncoder with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xiaomoguhzz/VisionEncoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download data/12.4.6/failures.jsonl from xiaomoguhzz/VisionEncoder: direct link, hf CLI and curl.
- Browser
- Download file 460 Bytes
-
https://huggingface.co/xiaomoguhzz/VisionEncoder/resolve/main/data/12.4.6/failures.jsonl
- Command line
-
hf download hf://xiaomoguhzz/VisionEncoder/data/12.4.6/failures.jsonl
-
curl -L -o failures.jsonl https://huggingface.co/xiaomoguhzz/VisionEncoder/resolve/main/data/12.4.6/failures.jsonl
460 Bytes
| {"error":"ValueError('missing sampled frames from 30_60_s_academic_v0_1/academic_source/activitynet/v_MkKUQ4MMHd8.mp4: [934]')","source_row":113315,"video_path":"30_60_s_academic_v0_1/academic_source/activitynet/v_MkKUQ4MMHd8.mp4"} | |
| {"error":"ValueError('missing sampled frames from 1_2_m_academic_v0_1/academic_source/activitynet/v_qEU4vKowVo4.mp4: [693]')","source_row":136437,"video_path":"1_2_m_academic_v0_1/academic_source/activitynet/v_qEU4vKowVo4.mp4"} | |