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bobox
/
DeBERTa3-s-CustomPoolin-v3-step1

Sentence Similarity
sentence-transformers
Safetensors
English
deberta-v2
feature-extraction
Generated from Trainer
dataset_size:225247
loss:CachedGISTEmbedLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use bobox/DeBERTa3-s-CustomPoolin-v3-step1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use bobox/DeBERTa3-s-CustomPoolin-v3-step1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("bobox/DeBERTa3-s-CustomPoolin-v3-step1")
    
    sentences = [
        "what is exfo toolbox",
        "Eye dilation from eye drops used for examination of the eye usually lasts from 4 to 24 hours, depending upon the strength of the drop and upon the individual patient.",
        "Garden Grove is a city in northern Orange County in the U.S. state of California, 34 miles (55 km) south of Los Angeles. The population was 170,883 at the 2010 United States Census. State Route 22, also known as the Garden Grove Freeway, passes through the city in an east-west direction.",
        "EXFO ToolBox Office is a product that offers you a collection of viewers and analyzers. It enables you to manage and analyze results acquired from fiber optic test modules and instruments."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • 1_AdvancedWeightedPooling
    Cached Gist embedd loss over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • AdvancedWeightedPooling_modelling.py
    6.08 kB
    Upload AdvancedWeightedPooling_modelling.py over 1 year ago
  • README.md
    105 kB
    Cached Gist embedd loss over 1 year ago
  • added_tokens.json
    23 Bytes
    Cached Gist embedd loss over 1 year ago
  • config.json
    860 Bytes
    Cached Gist embedd loss over 1 year ago
  • config_sentence_transformers.json
    201 Bytes
    Cached Gist embedd loss over 1 year ago
  • model.safetensors
    565 MB
    xet
    Cached Gist embedd loss over 1 year ago
  • modules.json
    241 Bytes
    Cached Gist embedd loss over 1 year ago
  • sentence_bert_config.json
    53 Bytes
    Cached Gist embedd loss over 1 year ago
  • special_tokens_map.json
    286 Bytes
    Cached Gist embedd loss over 1 year ago
  • spm.model
    2.46 MB
    xet
    Cached Gist embedd loss over 1 year ago
  • tokenizer.json
    8.66 MB
    Cached Gist embedd loss over 1 year ago
  • tokenizer_config.json
    1.28 kB
    Cached Gist embedd loss over 1 year ago