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goldenevil
/
agri-bot-model-v2

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:254
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use goldenevil/agri-bot-model-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use goldenevil/agri-bot-model-v2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("goldenevil/agri-bot-model-v2")
    
    sentences = [
        "How long should I let my potatoes 'cork over' in storage to prevent rot?",
        "If fruit sets on the vine but begins to show small, light brown spots on the blossom end of the fruit that turn leathery, the problem may be \"blossom end rot.\"",
        "Deterioration is rapid since young fruits dry out quickly in storage and are quite sensitive to chilling injury.",
        "Properly suberize potatoes by initial storage at high humidity with good ventilation (no wet surfaces) at 50-55°F for 10-14 days. [cite: 1873]"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
agri-bot-model-v2
442 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
goldenevil's picture
goldenevil
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c10fc0c verified 7 months ago
  • 1_Pooling
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  • .gitattributes
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  • README.md
    14.7 kB
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  • config.json
    690 Bytes
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  • config_sentence_transformers.json
    283 Bytes
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  • index.faiss
    2.22 MB
    xet
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  • index.pkl

    Detected Pickle imports (2)

    • "langchain_community.docstore.in_memory.InMemoryDocstore",
    • "langchain_core.documents.base.Document"

    How to fix it?

    765 kB
    xet
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  • model.safetensors
    438 MB
    xet
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  • modules.json
    349 Bytes
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  • sentence_bert_config.json
    56 Bytes
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.27 kB
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  • vocab.txt
    232 kB
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