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bobox
/
E5-base-unsupervised-TSDAE

Sentence Similarity
sentence-transformers
PyTorch
bert
feature-extraction
Generated from Trainer
dataset_size:300000
loss:DenoisingAutoEncoderLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use bobox/E5-base-unsupervised-TSDAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use bobox/E5-base-unsupervised-TSDAE with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("bobox/E5-base-unsupervised-TSDAE")
    
    sentences = [
        "One mole of a substance of substance such atoms or). The is known or Avogadro's constant",
        "how effective are birth control pills and pulling out?",
        "can pvc be phthalate free?",
        "One mole of a substance is equal to 6.022 × 10²³ units of that substance (such as atoms, molecules, or ions). The number 6.022 × 10²³ is known as Avogadro's number or Avogadro's constant."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
E5-base-unsupervised-TSDAE
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
bobox's picture
bobox
trained on the initial 100k + 100k
3aba23d verified almost 2 years ago
  • 1_Pooling
    trained on the initial 100k + 100k almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    23 kB
    trained on the initial 100k + 100k almost 2 years ago
  • config.json
    670 Bytes
    trained on the initial 100k + 100k almost 2 years ago
  • config_sentence_transformers.json
    195 Bytes
    trained on the initial 100k + 100k almost 2 years ago
  • modules.json
    229 Bytes
    trained on the initial 100k + 100k almost 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    438 MB
    xet
    trained on the initial 100k + 100k almost 2 years ago
  • sentence_bert_config.json
    53 Bytes
    trained on the initial 100k + 100k almost 2 years ago
  • special_tokens_map.json
    695 Bytes
    trained on the initial 100k + 100k almost 2 years ago
  • tokenizer.json
    712 kB
    trained on the initial 100k + 100k almost 2 years ago
  • tokenizer_config.json
    1.19 kB
    trained on the initial 100k + 100k almost 2 years ago
  • vocab.txt
    232 kB
    trained on the initial 100k + 100k almost 2 years ago