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pt-mteb
/
average_pt_nilc_wang2vec_skip_s300

Sentence Similarity
sentence-transformers
Portuguese
feature-extraction
Model card Files Files and versions
xet
Community

Instructions to use pt-mteb/average_pt_nilc_wang2vec_skip_s300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use pt-mteb/average_pt_nilc_wang2vec_skip_s300 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("pt-mteb/average_pt_nilc_wang2vec_skip_s300")
    
    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
average_pt_nilc_wang2vec_skip_s300
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
eduagarcia's picture
eduagarcia
Add new SentenceTransformer model.
f97545f verified about 2 years ago
  • 0_WordEmbeddings
    Add new SentenceTransformer model. about 2 years ago
  • 1_Pooling
    Add new SentenceTransformer model. about 2 years ago
  • .gitattributes
    1.6 kB
    Add new SentenceTransformer model. about 2 years ago
  • README.md
    2.42 kB
    Add new SentenceTransformer model. about 2 years ago
  • config_sentence_transformers.json
    170 Bytes
    Add new SentenceTransformer model. about 2 years ago
  • modules.json
    248 Bytes
    Add new SentenceTransformer model. about 2 years ago