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DRAGOO
/
bert_210

Text Classification
Transformers
Safetensors
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use DRAGOO/bert_210 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DRAGOO/bert_210 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="DRAGOO/bert_210")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("DRAGOO/bert_210")
    model = AutoModelForSequenceClassification.from_pretrained("DRAGOO/bert_210")
  • Notebooks
  • Google Colab
  • Kaggle
bert_210
269 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
DRAGOO's picture
DRAGOO
Update config.json
84327fd verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
    Upload tokenizer almost 2 years ago
  • config.json
    17 kB
    Update config.json almost 2 years ago
  • model.safetensors
    268 MB
    xet
    Upload DistilBertForSequenceClassification almost 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.2 kB
    Upload tokenizer almost 2 years ago
  • var.json
    8.15 kB
    Create var.json almost 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer almost 2 years ago