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Abdullah707
/
Stable-Text-Encoder

Feature Extraction
Transformers
PyTorch
Safetensors
clip_text_model
Model card Files Files and versions
xet
Community

Instructions to use Abdullah707/Stable-Text-Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Abdullah707/Stable-Text-Encoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Abdullah707/Stable-Text-Encoder")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Abdullah707/Stable-Text-Encoder")
    model = AutoModel.from_pretrained("Abdullah707/Stable-Text-Encoder", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Stable-Text-Encoder
1.48 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Abdullah707's picture
Abdullah707
New Commit
ec9e5b5 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • model.fp16.safetensors
    246 MB
    xet
    New Commit over 2 years ago
  • model.safetensors
    492 MB
    xet
    New Commit over 2 years ago
  • pytorch_model.bin
    492 MB
    xet
    New Commit over 2 years ago
  • pytorch_model.fp16.bin
    246 MB
    xet
    New Commit over 2 years ago
  • text_encoder_config.json
    617 Bytes
    New Commit over 2 years ago