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 checkpoint-15000/alignment_state.pt from mkd-dev/keural-vision-encoder-mid: direct link, hf CLI and curl.
- Browser
- Download file 9.05 MB
-
https://huggingface.co/mkd-dev/keural-vision-encoder-mid/resolve/main/checkpoint-15000/alignment_state.pt
- Command line
-
hf download hf://mkd-dev/keural-vision-encoder-mid/checkpoint-15000/alignment_state.pt
-
curl -L -o alignment_state.pt https://huggingface.co/mkd-dev/keural-vision-encoder-mid/resolve/main/checkpoint-15000/alignment_state.pt
9.05 MB
- Xet hash:
- 8170d093ebe9dce9705c81466c153af856b02c93bf5dfab989d99b4704baf2d2
- Size of remote file:
- 9.05 MB
- SHA256:
- 39450b6d5f939b0d48739ebe96daff82588132ef924c928e6c1ab8ae0485b6d2
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