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Auparima
/
thaifood-embed

Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
mteb
Sentence Transformers
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Auparima/thaifood-embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Auparima/thaifood-embed with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Auparima/thaifood-embed")
    
    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
thaifood-embed
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Auparima's picture
Auparima
Add new SentenceTransformer model
a454082 verified 2 months ago
  • 1_Pooling
    Add new SentenceTransformer model 2 months ago
  • .gitattributes
    1.57 kB
    Add new SentenceTransformer model 2 months ago
  • README.md
    179 kB
    Add new SentenceTransformer model 2 months ago
  • config.json
    741 Bytes
    Add new SentenceTransformer model 2 months ago
  • config_sentence_transformers.json
    281 Bytes
    Add new SentenceTransformer model 2 months ago
  • model.safetensors
    1.11 GB
    xet
    Add new SentenceTransformer model 2 months ago
  • modules.json
    349 Bytes
    Add new SentenceTransformer model 2 months ago
  • sentence_bert_config.json
    57 Bytes
    Add new SentenceTransformer model 2 months ago
  • tokenizer.json
    16.8 MB
    xet
    Add new SentenceTransformer model 2 months ago
  • tokenizer_config.json
    354 Bytes
    Add new SentenceTransformer model 2 months ago