Image Feature Extraction
Transformers
Safetensors
English
Chinese
mingtok
visual-tokenizer
feature-extraction
image-reconstruction
autoregressive
Instructions to use inclusionAI/MingTok-Vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/MingTok-Vision with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="inclusionAI/MingTok-Vision")# pip install -U transformers accelerate # Load model directly from transformers import MingTok model = MingTok.from_pretrained("inclusionAI/MingTok-Vision", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update pipeline tag and add descriptive tags
Verified signatureThis PR updates the model card for `MingTok-Vision` by: - Changing the `pipeline_tag` from `image-to-image` to `image-feature-extraction` to better reflect its primary function as a visual tokenizer. - Adding new descriptive tags like `visual-tokenizer`, `feature-extraction`, `image-reconstruction`, and `autoregressive` to enhance discoverability and clarity. All existing links and the sample usage remain unchanged as they are already correctly provided.0159e55
-
Update README.md
Verified signature106948d
-
Update README.md
Verified signature8a2f910
-
Upload 0830-mingtok-fig1.jpg
Verified signature081a5e2 -
Delete assets/0830-mingtok-fig1.jpg
Verified signature62cc5d1 -
Update README.md
Verified signature88bd8c2 -
Update README.md
Verified signature45baa97
-
Update README.md
Verified signaturec6df634 -
Update README.md
Verified signature717594f -
Upload folder using huggingface_hub
Verified signature4ba6b50
-
initial commit
Verified signature921f9b8