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heran
/
SBERT-am-finetune

Feature Extraction
Transformers
PyTorch
Amharic
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use heran/SBERT-am-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use heran/SBERT-am-finetune with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="heran/SBERT-am-finetune")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("heran/SBERT-am-finetune")
    model = AutoModel.from_pretrained("heran/SBERT-am-finetune")
  • Notebooks
  • Google Colab
  • Kaggle
SBERT-am-finetune
1.9 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
heran's picture
heran
Update README.md
2dfdc2d verified 11 months ago
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  • .gitattributes
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  • README (2).md
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
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  • modules.json
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.88 GB
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  • sentence_bert_config.json
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  • special_tokens_map.json
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  • tokenizer.json
    13.6 MB
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  • tokenizer_config.json
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  • vocab.txt
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