Transformers
Safetensors
English
v-jev
jev
systemone
decision-model
information-extraction
vision
qwen3.5
structured-output
classification
Instructions to use haohan84/v-jev1.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haohan84/v-jev1.4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("haohan84/v-jev1.4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 4b/preprocessor_config.json from haohan84/v-jev1.4: direct link, hf CLI and curl.
- Browser
- Download file 390 Bytes
-
https://huggingface.co/haohan84/v-jev1.4/resolve/main/4b/preprocessor_config.json
- Command line
-
hf download hf://haohan84/v-jev1.4/4b/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/haohan84/v-jev1.4/resolve/main/4b/preprocessor_config.json
390 Bytes
| { | |
| "size": { | |
| "longest_edge": 16777216, | |
| "shortest_edge": 65536 | |
| }, | |
| "patch_size": 16, | |
| "temporal_patch_size": 2, | |
| "merge_size": 2, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "processor_class": "Qwen3VLProcessor", | |
| "image_processor_type": "Qwen2VLImageProcessorFast" | |
| } |