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ipipan
/
silver-retriever-base-v1

Sentence Similarity
sentence-transformers
PyTorch
Safetensors
Transformers
Polish
bert
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use ipipan/silver-retriever-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use ipipan/silver-retriever-base-v1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("ipipan/silver-retriever-base-v1")
    
    sentences = [
        "Pytanie: W jakim mieście urodził się Zbigniew Herbert?",
        "Zbigniew Herbert</s>Zbigniew Bolesław Ryszard Herbert (ur. 29 października 1924 we Lwowie, zm. 28 lipca 1998 w Warszawie) – polski poeta, eseista i dramaturg.",
        "Zbigniew Herbert</s>Lato 1968 Herbert spędził w USA (na zaproszenie Poetry Center).",
        "Herbert George Wells</s>Herbert George Wells (ur. 21 września 1866 w Bromley, zm. 13 sierpnia 1946 w Londynie) – brytyjski pisarz i biolog."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Transformers

    How to use ipipan/silver-retriever-base-v1 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("ipipan/silver-retriever-base-v1")
    model = AutoModel.from_pretrained("ipipan/silver-retriever-base-v1")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
silver-retriever-base-v1
999 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 17 commits
piotr-rybak's picture
piotr-rybak
Update README.md
1f23165 verified almost 2 years ago
  • 1_Pooling
    init commit over 2 years ago
  • .gitattributes
    1.57 kB
    init commit over 2 years ago
  • README.md
    9.35 kB
    Update README.md almost 2 years ago
  • config.json
    789 Bytes
    init commit over 2 years ago
  • config_sentence_transformers.json
    117 Bytes
    init commit over 2 years ago
  • merges.txt
    556 kB
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  • model.safetensors
    498 MB
    xet
    Adding `safetensors` variant of this model (#2) about 2 years ago
  • modules.json
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    init commit over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    498 MB
    xet
    upload new model checkpoint over 2 years ago
  • sentence_bert_config.json
    53 Bytes
    init commit over 2 years ago
  • special_tokens_map.json
    144 Bytes
    init commit over 2 years ago
  • tokenizer.json
    2.3 MB
    init commit over 2 years ago
  • tokenizer_config.json
    368 Bytes
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  • vocab.json
    907 kB
    init commit over 2 years ago