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Hariprasath5128
/
Multimodal_marine

Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
dense
Generated from Trainer
dataset_size:68
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Hariprasath5128/Multimodal_marine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Hariprasath5128/Multimodal_marine with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Hariprasath5128/Multimodal_marine")
    
    sentences = [
        "The Atlantic spotted dolphin is a dolphin found in warm temperate and tropical waters of the Atlantic Ocean. Older members of the species have a very distinctive spotted coloration all over their bodies.",
        "baikal_seal",
        "southern_right_whale",
        "atlantic_spotted_dolphin"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
Multimodal_marine
786 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Hariprasath5128's picture
Hariprasath5128
Upload folder using huggingface_hub
96b6914 verified 3 months ago
  • 1_Pooling
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  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    16 kB
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  • best_research_model.pth

    Detected Pickle imports (3)

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

    What is a pickle import?

    347 MB
    xet
    Upload best_research_model.pth with huggingface_hub 3 months ago
  • config.json
    568 Bytes
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  • config_sentence_transformers.json
    296 Bytes
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  • model.safetensors
    438 MB
    xet
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  • modules.json
    368 Bytes
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  • sentence_bert_config.json
    60 Bytes
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  • special_tokens_map.json
    1.02 kB
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.69 kB
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  • vocab.txt
    232 kB
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