Image Segmentation
Transformers
Safetensors
fc_clip
panoptic-segmentation
open-vocabulary
zero-shot
clip
convnext
mask2former
fiftyone
custom_code
Instructions to use Voxel51/fc-clip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Voxel51/fc-clip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Voxel51/fc-clip", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Voxel51/fc-clip", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 309 Bytes
ce9d6aa | 1 2 3 4 5 6 7 8 9 10 11 | {
"image_processor_type": "BaseImageProcessor",
"do_normalize": true,
"image_mean": [0.48145466, 0.4578275, 0.40821073],
"image_std": [0.26862954, 0.26130258, 0.27577711],
"do_rescale": true,
"rescale_factor": 0.00392156862745098,
"do_resize": false,
"size": {"height": null, "width": null}
}
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