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LogischeIP
/
SentimentT2

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use LogischeIP/SentimentT2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LogischeIP/SentimentT2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="LogischeIP/SentimentT2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("LogischeIP/SentimentT2")
    model = AutoModelForSequenceClassification.from_pretrained("LogischeIP/SentimentT2")
  • Notebooks
  • Google Colab
  • Kaggle
SentimentT2 / runs
47.9 kB
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  • 1 contributor
History: 7 commits
LogischeIP's picture
LogischeIP
Training in progress, epoch 1
e55a6d1 over 2 years ago
  • Jan10_15-12-03_032b48ce4f7d
    Training in progress, epoch 2 over 2 years ago
  • Jan10_15-32-47_032b48ce4f7d
    Training in progress, epoch 1 over 2 years ago
  • Jan10_15-37-44_032b48ce4f7d
    Training in progress, epoch 1 over 2 years ago
  • Jan10_15-41-41_032b48ce4f7d
    Training in progress, epoch 1 over 2 years ago
  • Jan10_15-45-29_032b48ce4f7d
    Training in progress, epoch 1 over 2 years ago
  • Jan10_15-45-46_032b48ce4f7d
    Training in progress, epoch 1 over 2 years ago
  • Jan10_15-52-06_032b48ce4f7d
    Training in progress, epoch 2 over 2 years ago
  • Jan10_16-18-40_032b48ce4f7d
    Training in progress, epoch 1 over 2 years ago
  • Jan10_16-19-51_032b48ce4f7d
    Training in progress, epoch 1 over 2 years ago