Image Feature Extraction
Transformers
Safetensors
English
keural_vision
vision
vision-encoder
image-text
contrastive-learning
custom-architecture
vlm
Instructions to use mkd-dev/keural-vision-encoder-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mkd-dev/keural-vision-encoder-poc 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-poc")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mkd-dev/keural-vision-encoder-poc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
96faa83 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1dfb625a59763051f3f84e92da3f087dbcb359847ae12a04190279c9ad4053ac
size 198657138
|