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radlab
/
semantic-euro-bert-encoder-v1

Sentence Similarity
sentence-transformers
Safetensors
Polish
English
German
eurobert
- embeddings
plwordnet
semantic-relations
semantic-search
custom_code
Model card Files Files and versions
xet
Community

Instructions to use radlab/semantic-euro-bert-encoder-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use radlab/semantic-euro-bert-encoder-v1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("radlab/semantic-euro-bert-encoder-v1", trust_remote_code=True)
    
    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]
  • Notebooks
  • Google Colab
  • Kaggle
semantic-euro-bert-encoder-v1
7.35 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
pkedzia's picture
pkedzia
Update README.md
0ae035f verified about 1 year ago
  • 1_Pooling
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  • eval
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  • .gitattributes
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  • DETAILED_README.md
    12.4 MB
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  • README.md
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  • config.json
    1.29 kB
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  • config_sentence_transformers.json
    283 Bytes
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  • configuration_eurobert.py
    12.1 kB
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  • model.safetensors
    2.43 GB
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  • modeling_eurobert.py
    43.2 kB
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  • modules.json
    229 Bytes
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  • optimizer.pt
    4.86 GB
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  • rng_state.pth
    14.6 kB
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  • scaler.pt
    1.38 kB
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  • scheduler.pt
    1.47 kB
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  • sentence_bert_config.json
    57 Bytes
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  • special_tokens_map.json
    590 Bytes
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  • tokenizer.json
    17.2 MB
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  • tokenizer_config.json
    55.6 kB
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  • trainer_state.json
    27 MB
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  • training_args.bin
    6.23 kB
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