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mrp
/
simcse-model-wangchanberta

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

Instructions to use mrp/simcse-model-wangchanberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mrp/simcse-model-wangchanberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="mrp/simcse-model-wangchanberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("mrp/simcse-model-wangchanberta")
    model = AutoModel.from_pretrained("mrp/simcse-model-wangchanberta")
  • Notebooks
  • Google Colab
  • Kaggle
simcse-model-wangchanberta
424 MB
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  • 1 contributor
History: 3 commits
mrp's picture
mrp
Update README.md
86fe48b about 4 years ago
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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.FloatStorage",
    • "torch.LongStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

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  • sentence_bert_config.json
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  • sentencepiece.bpe.model
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  • tokenizer.json
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  • tokenizer_config.json
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