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Voxel51
/
fc-clip

Image Segmentation
Transformers
Safetensors
fc_clip
panoptic-segmentation
open-vocabulary
zero-shot
clip
convnext
mask2former
fiftyone
custom_code
Model card Files Files and versions
xet
Community

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)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Voxel51/fc-clip", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
fc-clip
83 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
neerajaabhyankar's picture
neerajaabhyankar
fix: update category_overlapping_mask in set_class_names for custom vocab
149af67 verified 6 days ago
  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • README.md
    2.37 kB
    Upload folder using huggingface_hub 6 days ago
  • config.json
    1.08 kB
    Upload folder using huggingface_hub 6 days ago
  • configuration_fc_clip.py
    4.78 kB
    Upload folder using huggingface_hub 6 days ago
  • convert_and_upload.py
    2.75 kB
    Upload folder using huggingface_hub 6 days ago
  • model.safetensors
    82.9 MB
    xet
    Upload folder using huggingface_hub 6 days ago
  • modeling_fc_clip.py
    44.7 kB
    fix: update category_overlapping_mask in set_class_names for custom vocab 6 days ago
  • preprocessor_config.json
    309 Bytes
    Upload folder using huggingface_hub 6 days ago