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ai-forever
/
FRIDA

Feature Extraction
sentence-transformers
Safetensors
Transformers
Russian
English
t5
mteb
Eval Results (legacy)
Model card Files Files and versions
xet
Community
7

Instructions to use ai-forever/FRIDA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use ai-forever/FRIDA with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("ai-forever/FRIDA")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Transformers

    How to use ai-forever/FRIDA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ai-forever/FRIDA")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("ai-forever/FRIDA")
    model = AutoModel.from_pretrained("ai-forever/FRIDA")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

model_FRIDA_static_avx512vnni_8bit.onnx

#7 opened 11 months ago by
Colegero

Add exported onnx model 'model_qint8_arm64.onnx'

#4 opened about 1 year ago by
Georgyyy

Add exported onnx model 'model_qint8_avx512_vnni.onnx'

#3 opened about 1 year ago by
Georgyyy

ONNX версия модели

6
#1 opened over 1 year ago by
hiauiarau
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