Image Feature Extraction
Transformers
Safetensors
English
keural_vision
vision
vision-encoder
image-text
contrastive-learning
knowledge-distillation
adaptive-tokenization
Eval Results (legacy)
Instructions to use mkd-dev/keural-vision-encoder-mid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mkd-dev/keural-vision-encoder-mid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="mkd-dev/keural-vision-encoder-mid")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mkd-dev/keural-vision-encoder-mid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download keural_mid_architecture.png from mkd-dev/keural-vision-encoder-mid: direct link, hf CLI and curl.
- Browser
- Download file 1.15 MB
-
https://huggingface.co/mkd-dev/keural-vision-encoder-mid/resolve/main/keural_mid_architecture.png
- Command line
-
hf download hf://mkd-dev/keural-vision-encoder-mid/keural_mid_architecture.png
-
curl -L -o keural_mid_architecture.png https://huggingface.co/mkd-dev/keural-vision-encoder-mid/resolve/main/keural_mid_architecture.png
1.15 MB

- Xet hash:
- 414c1972f50c7e30902f897e136a1221c17967d48a89252786f7af8c364a0bcc
- Size of remote file:
- 1.15 MB
- SHA256:
- 42a1c75bb2abe7e0079d3be61a3a9a7a259e4dd4dfed90e567d2ca64562944fe
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