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research-dump
/
Fine_tuned_bert-base-uncased

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

Instructions to use research-dump/Fine_tuned_bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use research-dump/Fine_tuned_bert-base-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="research-dump/Fine_tuned_bert-base-uncased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("research-dump/Fine_tuned_bert-base-uncased")
    model = AutoModelForSequenceClassification.from_pretrained("research-dump/Fine_tuned_bert-base-uncased")
  • Notebooks
  • Google Colab
  • Kaggle
Fine_tuned_bert-base-uncased
439 MB
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  • 1 contributor
History: 7 commits
hsuvaskakoty's picture
hsuvaskakoty
Upload tokenizer
95b46c7 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification about 2 years ago
  • config.json
    727 Bytes
    Upload BertForSequenceClassification about 2 years ago
  • model.safetensors
    438 MB
    xet
    Upload BertForSequenceClassification about 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    712 kB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.19 kB
    Upload tokenizer about 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer about 2 years ago