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sayef
/
fsner-bert-base-uncased

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

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

  • Libraries
  • Transformers

    How to use sayef/fsner-bert-base-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="sayef/fsner-bert-base-uncased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("sayef/fsner-bert-base-uncased")
    model = AutoModel.from_pretrained("sayef/fsner-bert-base-uncased")
  • Notebooks
  • Google Colab
  • Kaggle
fsner-bert-base-uncased
Ctrl+K
Ctrl+K
  • 3 contributors
History: 9 commits
sayef's picture
sayef
Update README.md
aea2529 about 4 years ago
  • .gitattributes
    737 Bytes
    initial commit almost 5 years ago
  • README.md
    7.51 kB
    Update README.md about 4 years ago
  • added_tokens.json
    29 Bytes
    Update model by training for 25 epochs and two more datasets i.e. mit restaurant and mit movie trivia. about 4 years ago
  • config.json
    659 Bytes
    Update model by training for 25 epochs and two more datasets i.e. mit restaurant and mit movie trivia. about 4 years ago
  • pytorch_model.bin
    438 MB
    xet
    Update model by training for 25 epochs and two more datasets i.e. mit restaurant and mit movie trivia. about 4 years ago
  • special_tokens_map.json
    158 Bytes
    add tokenizer almost 5 years ago
  • tokenizer.json
    712 kB
    Update model by training for 25 epochs and two more datasets i.e. mit restaurant and mit movie trivia. about 4 years ago
  • tokenizer_config.json
    322 Bytes
    Update model by training for 25 epochs and two more datasets i.e. mit restaurant and mit movie trivia. about 4 years ago
  • vocab.txt
    232 kB
    add tokenizer almost 5 years ago