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KevinQuijano
/
translate

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

Instructions to use KevinQuijano/translate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use KevinQuijano/translate with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("KevinQuijano/translate")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Transformers

    How to use KevinQuijano/translate with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("KevinQuijano/translate")
    model = AutoModelForMultimodalLM.from_pretrained("KevinQuijano/translate")
  • Notebooks
  • Google Colab
  • Kaggle
translate
332 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 19 commits
KevinQuijano's picture
KevinQuijano
Upload folder using huggingface_hub
a863ca8 over 2 years ago
  • 1_Pooling
    Upload folder using huggingface_hub over 2 years ago
  • eval
    Upload folder using huggingface_hub over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    3.78 kB
    Pushing simcse 500k model over 2 years ago
  • config.json
    777 Bytes
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  • config_sentence_transformers.json
    122 Bytes
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  • merges.txt
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  • model.safetensors
    328 MB
    xet
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  • modules.json
    229 Bytes
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  • sentence_bert_config.json
    52 Bytes
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    1.22 kB
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  • vocab.json
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