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bobox
/
E5-base-unsupervised-TSDAE-2

Sentence Similarity
sentence-transformers
PyTorch
bert
feature-extraction
Generated from Trainer
dataset_size:700000
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-2 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-2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("bobox/E5-base-unsupervised-TSDAE-2")
    
    sentences = [
        "in Freeview no extra therefore minimal Also the is wide decent, plus they and.",
        "Pokémon-GX (Japanese: ポケモンGX Pokémon GX), officially written Pokémon-GX, are a variant of Pokémon in the Pokémon Trading Card Game. They were first introduced in the Sun & Moon expansion (the Collection Sun and Collection Moon expansions in Japan). Pokémon-GX have a stylized. graphic on the card name.",
        "The Cape Colony (Dutch: Kaapkolonie) was a Dutch East India Company colony in Southern Africa, centered on the Cape of Good Hope, whence it derived its name. The original colony and its successive states that the colony was incorporated into occupied much of modern South Africa.",
        "Avtex is expensive, but you get built in Freeview, Freesat and built in DVD player, which means no extra boxes, and therefore minimal wiring. Also the viewing angle is wide and a decent picture quality, plus they are light and designed for mobile use."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
E5-base-unsupervised-TSDAE-2
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
bobox's picture
bobox
Update config.json
cf297d2 verified about 2 years ago
  • 1_Pooling
    continued training on 200k:400k + 100k:200k about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    29.8 kB
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  • config.json
    702 Bytes
    Update config.json about 2 years ago
  • config_sentence_transformers.json
    195 Bytes
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  • modules.json
    229 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    438 MB
    xet
    continued training on 200k:400k + 100k:200k about 2 years ago
  • sentence_bert_config.json
    53 Bytes
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.19 kB
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  • vocab.txt
    232 kB
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