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zeifar
/
mlm-mpnet-base-v2

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

Instructions to use zeifar/mlm-mpnet-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zeifar/mlm-mpnet-base-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="zeifar/mlm-mpnet-base-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("zeifar/mlm-mpnet-base-v2")
    model = AutoModel.from_pretrained("zeifar/mlm-mpnet-base-v2")
  • Notebooks
  • Google Colab
  • Kaggle
mlm-mpnet-base-v2
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
zeifar's picture
zeifar
Upload tokenizer
3320e33 over 2 years ago
  • .gitattributes
    1.57 kB
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  • config.json
    737 Bytes
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  • pytorch_model.bin
    1.11 GB
    xet
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  • sentencepiece.bpe.model
    5.07 MB
    xet
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  • special_tokens_map.json
    167 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    1.37 kB
    Upload tokenizer over 2 years ago