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teslov
/
reranker

Text Classification
Transformers
PyTorch
Transformers.js
multilingual
reranker
cross-encoder
custom_code
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use teslov/reranker with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="teslov/reranker", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("teslov/reranker", trust_remote_code=True, dtype="auto")
  • Transformers.js

    How to use teslov/reranker with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('text-classification', 'teslov/reranker');
  • Notebooks
  • Google Colab
  • Kaggle
reranker
579 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
teslov's picture
teslov
Upload 14 files
93de0a6 verified over 1 year ago
  • .gitattributes
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  • README.md
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  • block.py
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  • config.json
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  • configuration_xlm_roberta.py
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  • embedding.py
    2.56 kB
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  • mha.py
    28 kB
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  • mlp.py
    6.21 kB
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  • modeling_xlm_roberta.py
    43.8 kB
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.BFloat16Storage",
    • "torch._utils._rebuild_parameter",
    • "torch._utils._rebuild_tensor_v2"

    How to fix it?

    562 MB
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  • special_tokens_map.json
    964 Bytes
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  • stochastic_depth.py
    3.76 kB
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
    1.15 kB
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  • xlm_padding.py
    9.82 kB
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