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gsar78
/
HellenicSentimentAI

Text Classification
Transformers
Safetensors
multilingual
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use gsar78/HellenicSentimentAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gsar78/HellenicSentimentAI with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="gsar78/HellenicSentimentAI")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("gsar78/HellenicSentimentAI")
    model = AutoModelForSequenceClassification.from_pretrained("gsar78/HellenicSentimentAI")
  • Notebooks
  • Google Colab
  • Kaggle
HellenicSentimentAI
1.13 GB
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  • 1 contributor
History: 17 commits
gsar78's picture
gsar78
Update README.md
c177a86 verified almost 2 years ago
  • .gitattributes
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  • HellenicSentimentAI_logo.png
    394 kB
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  • README.md
    5.1 kB
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  • config.json
    973 Bytes
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  • model.safetensors
    1.11 GB
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  • sentencepiece.bpe.model
    5.07 MB
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
    1.2 kB
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