Any-to-Any
Transformers
Safetensors
qwen3_5
image-text-to-text
video-editing
agent
tool-use
long-horizon
reinforcement-learning
qwen3.5
Instructions to use tencent/WeVisCut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/WeVisCut with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("tencent/WeVisCut") model = AutoModelForMultimodalLM.from_pretrained("tencent/WeVisCut", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from tencent/WeVisCut: direct link, hf CLI and curl.
- Browser
- Download file 113 Bytes
-
https://huggingface.co/tencent/WeVisCut/resolve/main/generation_config.json
- Command line
-
hf download hf://tencent/WeVisCut/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/tencent/WeVisCut/resolve/main/generation_config.json
113 Bytes
| { | |
| "eos_token_id": [ | |
| 248046, | |
| 248044 | |
| ], | |
| "pad_token_id": 248044, | |
| "transformers_version": "5.15.1" | |
| } | |