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ashraq
/
tsdae-bert-base-dv-news-title

Sentence Similarity
sentence-transformers
PyTorch
Transformers
Divehi
bert
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use ashraq/tsdae-bert-base-dv-news-title with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use ashraq/tsdae-bert-base-dv-news-title with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("ashraq/tsdae-bert-base-dv-news-title")
    
    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]
  • Transformers

    How to use ashraq/tsdae-bert-base-dv-news-title with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("ashraq/tsdae-bert-base-dv-news-title")
    model = AutoModel.from_pretrained("ashraq/tsdae-bert-base-dv-news-title")
  • Notebooks
  • Google Colab
  • Kaggle
tsdae-bert-base-dv-news-title
267 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
ashraq's picture
ashraq
Update README.md
5972d48 over 4 years ago
  • 1_Pooling
    completed training for 3 epochs over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    3.46 kB
    Update README.md over 4 years ago
  • config.json
    631 Bytes
    completed training for 3 epochs over 4 years ago
  • config_sentence_transformers.json
    124 Bytes
    completed training for 3 epochs over 4 years ago
  • gitattributes
    1.18 kB
    completed training for 3 epochs over 4 years ago
  • modules.json
    229 Bytes
    completed training for 3 epochs over 4 years ago
  • pytorch_model.bin
    266 MB
    xet
    completed training for 3 epochs over 4 years ago
  • sentence_bert_config.json
    53 Bytes
    completed training for 3 epochs over 4 years ago
  • special_tokens_map.json
    112 Bytes
    completed training for 3 epochs over 4 years ago
  • tokenizer.json
    678 kB
    completed training for 3 epochs over 4 years ago
  • tokenizer_config.json
    418 Bytes
    completed training for 3 epochs over 4 years ago