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YirongSun
/
glap_ft

Feature Extraction
Transformers
Safetensors
glap
audio
text-to-audio-retrieval
spear
custom_code
Model card Files Files and versions
xet
Community

Instructions to use YirongSun/glap_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use YirongSun/glap_ft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="YirongSun/glap_ft", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("YirongSun/glap_ft", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
glap_ft
13.7 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
YirongSun's picture
YirongSun
Move legacy checkpoints into old directory
2dc39ec verified about 1 month ago
  • old
    Move legacy checkpoints into old directory about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • LICENSE
    11.4 kB
    Publish HF-native SPEAR-GLAP best checkpoint about 1 month ago
  • README.md
    3.49 kB
    Fix tokenizer resolution for pinned offline loads about 1 month ago
  • config.json
    714 Bytes
    Publish HF-native SPEAR-GLAP best checkpoint about 1 month ago
  • configuration_glap.py
    1.64 kB
    Publish HF-native SPEAR-GLAP best checkpoint about 1 month ago
  • evaluation_summary.json
    509 Bytes
    Publish HF-native SPEAR-GLAP best checkpoint about 1 month ago
  • model.safetensors
    3.42 GB
    xet
    Publish HF-native SPEAR-GLAP best checkpoint about 1 month ago
  • modeling_glap.py
    31.1 kB
    Fix tokenizer resolution for pinned offline loads about 1 month ago
  • provenance.json
    1.39 kB
    Fix tokenizer resolution for pinned offline loads about 1 month ago
  • sentencepiece.source.256000.model
    4.85 MB
    xet
    Publish HF-native SPEAR-GLAP best checkpoint about 1 month ago
  • training_metadata.json
    273 Bytes
    Publish HF-native SPEAR-GLAP best checkpoint about 1 month ago
  • training_recipe.yaml
    352 Bytes
    Publish HF-native SPEAR-GLAP best checkpoint about 1 month ago