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AnonymousSub
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CASCADE_recipe-bert-base-uncased

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

Instructions to use AnonymousSub/CASCADE_recipe-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AnonymousSub/CASCADE_recipe-bert-base-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="AnonymousSub/CASCADE_recipe-bert-base-uncased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/CASCADE_recipe-bert-base-uncased")
    model = AutoModel.from_pretrained("AnonymousSub/CASCADE_recipe-bert-base-uncased")
  • Notebooks
  • Google Colab
  • Kaggle
CASCADE_recipe-bert-base-uncased
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  • 1 contributor
History: 3 commits
AnonymousSub's picture
AnonymousSub
Upload tokenizer
f0e0290 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • config.json
    1.6 MB
    Upload model almost 3 years ago
  • pytorch_model.bin
    438 MB
    xet
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  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    314 Bytes
    Upload tokenizer almost 3 years ago
  • vocab.txt
    232 kB
    Upload tokenizer almost 3 years ago