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AcapeLlama
/
deberta-Contrastive

Feature Extraction
Transformers
Safetensors
deberta-v2
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use AcapeLlama/deberta-Contrastive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AcapeLlama/deberta-Contrastive with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="AcapeLlama/deberta-Contrastive")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("AcapeLlama/deberta-Contrastive")
    model = AutoModel.from_pretrained("AcapeLlama/deberta-Contrastive")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-Contrastive
745 MB
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  • 1 contributor
History: 3 commits
snob's picture
snob
Upload tokenizer
343aa32 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
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  • config.json
    903 Bytes
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  • model.safetensors
    741 MB
    xet
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  • special_tokens_map.json
    971 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    3.19 MB
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  • tokenizer_config.json
    1.28 kB
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  • vocab.txt
    1.09 MB
    Upload tokenizer almost 2 years ago