Image Feature Extraction
Transformers
Safetensors
English
Korean
vision-encoder
multimodal
custom_code
Instructions to use skt/A.X-VE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skt/A.X-VE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="skt/A.X-VE", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("skt/A.X-VE", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_map": { | |
| "AutoConfig": "configuration_ax_ve.AXVEConfig" | |
| }, | |
| "vision_config": { | |
| "drop_path_rate": 0.0, | |
| "hidden_size": 1152, | |
| "image_size": 384, | |
| "intermediate_size": 4304, | |
| "num_position_embeddings": 576, | |
| "model_type": "ax_ve", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 27, | |
| "torch_dtype": "bfloat16", | |
| "spatial_merge_size": 2 | |
| } | |
| } | |