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sohomghosh
/
LIPI_FinSim3_Hypernym

Feature Extraction
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use sohomghosh/LIPI_FinSim3_Hypernym with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sohomghosh/LIPI_FinSim3_Hypernym with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="sohomghosh/LIPI_FinSim3_Hypernym")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("sohomghosh/LIPI_FinSim3_Hypernym")
    model = AutoModel.from_pretrained("sohomghosh/LIPI_FinSim3_Hypernym")
  • Notebooks
  • Google Colab
  • Kaggle
LIPI_FinSim3_Hypernym
439 MB
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  • 1 contributor
History: 13 commits
sohomghosh's picture
sohomghosh
Update README.md
8b77f29 almost 4 years ago
  • 1_Pooling
    Create new file almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
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  • config.json
    856 Bytes
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  • config_sentence_transformers.json
    124 Bytes
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  • modules.json
    229 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    438 MB
    xet
    Upload pytorch_model.bin almost 4 years ago
  • sentence_bert_config.json
    53 Bytes
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  • special_tokens_map.json
    112 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    488 Bytes
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  • vocab.txt
    232 kB
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