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Disty0
/
sotediffusion-wuerstchen3_text_encoder

Transformers
Safetensors
clip_text_model
Model card Files Files and versions
xet
Community

Instructions to use Disty0/sotediffusion-wuerstchen3_text_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Disty0/sotediffusion-wuerstchen3_text_encoder with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, CLIPTextModelWithProjection
    
    tokenizer = AutoTokenizer.from_pretrained("Disty0/sotediffusion-wuerstchen3_text_encoder")
    model = CLIPTextModelWithProjection.from_pretrained("Disty0/sotediffusion-wuerstchen3_text_encoder")
  • Notebooks
  • Google Colab
  • Kaggle
sotediffusion-wuerstchen3_text_encoder
2.78 GB
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  • 1 contributor
History: 3 commits
Disty0's picture
Disty0
Upload sotediffusion-wr3_3b-base_text_model.safetensors
008e96d verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • LICENSE
    4.73 kB
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  • config.json
    578 Bytes
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  • merges.txt
    525 kB
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  • model.safetensors
    1.39 GB
    xet
    Upload 8 files almost 2 years ago
  • sotediffusion-wr3_3b-base_text_model.safetensors
    1.39 GB
    xet
    Upload sotediffusion-wr3_3b-base_text_model.safetensors almost 2 years ago
  • special_tokens_map.json
    588 Bytes
    Upload 8 files almost 2 years ago
  • tokenizer.json
    2.22 MB
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  • tokenizer_config.json
    705 Bytes
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  • vocab.json
    862 kB
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