Zero-Shot Image Classification
Transformers
Safetensors
flexict
feature-extraction
medical-imaging
ct
vision-language
custom_code
Instructions to use ricklisz123/FlexiCT-3D-VLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ricklisz123/FlexiCT-3D-VLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="ricklisz123/FlexiCT-3D-VLM", trust_remote_code=True) pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ricklisz123/FlexiCT-3D-VLM", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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