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NPCProgrammer
/
BERT_tweet_tuned

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use NPCProgrammer/BERT_tweet_tuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="NPCProgrammer/BERT_tweet_tuned")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("NPCProgrammer/BERT_tweet_tuned")
    model = AutoModelForSequenceClassification.from_pretrained("NPCProgrammer/BERT_tweet_tuned")
  • Notebooks
  • Google Colab
  • Kaggle
BERT_tweet_tuned / runs
8.62 kB
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  • 1 contributor
History: 6 commits
NPCProgrammer's picture
NPCProgrammer
Model save
7bd48be verified about 2 years ago
  • Mar13_07-26-20_cfd6c19a3965
    Model save about 2 years ago