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Karmukilan
/
nomic-embed-text-v1

Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
Transformers
Transformers.js
English
nomic_bert
feature-extraction
mteb
custom_code
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Karmukilan/nomic-embed-text-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Karmukilan/nomic-embed-text-v1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Karmukilan/nomic-embed-text-v1", trust_remote_code=True)
    
    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 Karmukilan/nomic-embed-text-v1 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Karmukilan/nomic-embed-text-v1", trust_remote_code=True)
    model = AutoModel.from_pretrained("Karmukilan/nomic-embed-text-v1", trust_remote_code=True)
  • Transformers.js

    How to use Karmukilan/nomic-embed-text-v1 with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('sentence-similarity', 'Karmukilan/nomic-embed-text-v1');
  • Notebooks
  • Google Colab
  • Kaggle
nomic-embed-text-v1
1.78 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Karmukilan's picture
Karmukilan
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11f751d verified 7 days ago
  • 1_Pooling
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  • onnx
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  • .gitattributes
    1.52 kB
    initial commit 7 days ago
  • README.md
    71.3 kB
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  • config.json
    2.03 kB
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  • config_sentence_transformers.json
    128 Bytes
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  • model.safetensors
    547 MB
    xet
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  • modules.json
    349 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    547 MB
    xet
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  • sentence_bert_config.json
    54 Bytes
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.19 kB
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  • vocab.txt
    232 kB
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