Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

bobox
/
DeBERTaV3-small-SentenceTransformer-AdaptiveLayerBaseline

Sentence Similarity
sentence-transformers
PyTorch
English
deberta-v2
feature-extraction
Generated from Trainer
dataset_size:314315
loss:AdaptiveLayerLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use bobox/DeBERTaV3-small-SentenceTransformer-AdaptiveLayerBaseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use bobox/DeBERTaV3-small-SentenceTransformer-AdaptiveLayerBaseline with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("bobox/DeBERTaV3-small-SentenceTransformer-AdaptiveLayerBaseline")
    
    sentences = [
        "Two teenage girls conversing next to lockers.",
        "Girls talking about their problems next to lockers.",
        "A bully tries to pop a balloon without being caught in the act.",
        "Two dogs standing together in the yard."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
DeBERTaV3-small-SentenceTransformer-AdaptiveLayerBaseline
576 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
bobox's picture
bobox
batch_size = 64
04dc468 verified almost 2 years ago
  • 1_Pooling
    batch_size = 64 almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    25.1 kB
    batch_size = 64 almost 2 years ago
  • added_tokens.json
    23 Bytes
    batch_size = 64 almost 2 years ago
  • config.json
    860 Bytes
    batch_size = 64 almost 2 years ago
  • config_sentence_transformers.json
    195 Bytes
    batch_size = 64 almost 2 years ago
  • modules.json
    229 Bytes
    batch_size = 64 almost 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    565 MB
    xet
    batch_size = 64 almost 2 years ago
  • sentence_bert_config.json
    53 Bytes
    batch_size = 64 almost 2 years ago
  • special_tokens_map.json
    286 Bytes
    batch_size = 64 almost 2 years ago
  • spm.model
    2.46 MB
    xet
    batch_size = 64 almost 2 years ago
  • tokenizer.json
    8.66 MB
    batch_size = 64 almost 2 years ago
  • tokenizer_config.json
    1.28 kB
    batch_size = 64 almost 2 years ago