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MC7ever
/
pe-single-L14

Feature Extraction
Transformers
Safetensors
PerceptionEncoder
English
pe_audio_video
audio-text-retrieval
image-text-retrieval
zero-shot-audio-classification
multimodal-embeddings
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use MC7ever/pe-single-L14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MC7ever/pe-single-L14 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="MC7ever/pe-single-L14")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("MC7ever/pe-single-L14")
    model = AutoModel.from_pretrained("MC7ever/pe-single-L14", device_map="auto")
  • PerceptionEncoder

    How to use MC7ever/pe-single-L14 with PerceptionEncoder:

    # Use any PE model as a vision encoder
    import core.vision_encoder.pe as pe
    
    model = pe.VisionTransformer.from_config("MC7ever/pe-single-L14", pretrained=True)
  • Notebooks
  • Google Colab
  • Kaggle
pe-single-L14
10.7 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
MC7ever's picture
MC7ever
backup: v2 audio-mixed tune resume checkpoint step 50
7230bd6 verified about 1 month ago
  • checkpoints
    backup: v2 audio-mixed tune resume checkpoint step 50 about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    6.48 kB
    card: v3 tuned numbers (i2t 0.727, t2i 0.827) about 1 month ago
  • config.json
    31.5 kB
    pe-single-L14 tag a0.25_v0.0: fused PE-AV + A-Frame + Core-L14 + Spatial-L14 recipe, bench card about 1 month ago
  • model.safetensors
    4.13 GB
    xet
    v3 tuned: heads-only contrastive tune (COCO-train 4000x2ep, MPS local); i2t 0.013->0.727, t2i 0.713->0.827 about 1 month ago
  • processor_config.json
    850 Bytes
    pe-single-L14 tag a0.25_v0.0: fused PE-AV + A-Frame + Core-L14 + Spatial-L14 recipe, bench card about 1 month ago
  • tokenizer.json
    3.58 MB
    pe-single-L14 tag a0.25_v0.0: fused PE-AV + A-Frame + Core-L14 + Spatial-L14 recipe, bench card about 1 month ago
  • tokenizer_config.json
    456 Bytes
    pe-single-L14 tag a0.25_v0.0: fused PE-AV + A-Frame + Core-L14 + Spatial-L14 recipe, bench card about 1 month ago