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imxly
/
sentence_rtb3

Feature Extraction
Transformers
PyTorch
JAX
bert
Model card Files Files and versions
xet
Community
1

Instructions to use imxly/sentence_rtb3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use imxly/sentence_rtb3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="imxly/sentence_rtb3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("imxly/sentence_rtb3")
    model = AutoModel.from_pretrained("imxly/sentence_rtb3")
  • Notebooks
  • Google Colab
  • Kaggle
sentence_rtb3
308 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
ac6aefb almost 5 years ago
  • .gitattributes
    391 Bytes
    allow flax almost 5 years ago
  • config.json
    741 Bytes
    commit it over 5 years ago
  • flax_model.msgpack
    154 MB
    xet
    upload flax model almost 5 years ago
  • pytorch_model.bin
    154 MB
    xet
    commit it over 5 years ago
  • vocab.txt
    110 kB
    commit it over 5 years ago