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Forturne
/
instruct_ret_bge

Feature Extraction
Transformers
Safetensors
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Forturne/instruct_ret_bge with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Forturne/instruct_ret_bge")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Forturne/instruct_ret_bge")
    model = AutoModel.from_pretrained("Forturne/instruct_ret_bge")
  • Notebooks
  • Google Colab
  • Kaggle
instruct_ret_bge
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  • 1 contributor
History: 3 commits
Forturne's picture
Forturne
Upload tokenizer
cbc5f06 verified about 1 year ago
  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
    1.14 GB
    xet
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  • sentencepiece.bpe.model
    5.07 MB
    xet
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    1.2 kB
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