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sdadas
/
mmlw-retrieval-roberta-large

Sentence Similarity
sentence-transformers
PyTorch
Safetensors
Transformers
Polish
roberta
feature-extraction
information-retrieval
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use sdadas/mmlw-retrieval-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use sdadas/mmlw-retrieval-roberta-large with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("sdadas/mmlw-retrieval-roberta-large")
    
    sentences = [
        "zapytanie: Jak dożyć 100 lat?",
        "Trzeba zdrowo się odżywiać i uprawiać sport.",
        "Trzeba pić alkohol, imprezować i jeździć szybkimi autami.",
        "Gdy trwała kampania politycy zapewniali, że rozprawią się z zakazem niedzielnego handlu."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Transformers

    How to use sdadas/mmlw-retrieval-roberta-large with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("sdadas/mmlw-retrieval-roberta-large")
    model = AutoModel.from_pretrained("sdadas/mmlw-retrieval-roberta-large")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
mmlw-retrieval-roberta-large
1.76 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 15 commits
sdadas's picture
sdadas
Update README.md
2b74084 verified 3 months ago
  • 1_Pooling
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  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • config.json
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  • config_sentence_transformers.json
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  • model.safetensors
    870 MB
    xet
    Adding `safetensors` variant of this model (#1) about 2 years ago
  • modules.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    870 MB
    xet
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  • sentence_bert_config.json
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  • special_tokens_map.json
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  • tokenizer.json
    8.59 MB
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  • tokenizer_config.json
    1.41 kB
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  • unigram.json
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