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Tanor
/
BERTicSENTPOS6

Text Classification
Transformers
PyTorch
Safetensors
Serbian
electra
serbian
sentiment-analysis
wordnet
sentiwordnet
lexicon-induction
Model card Files Files and versions
xet
Community

Instructions to use Tanor/BERTicSENTPOS6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Tanor/BERTicSENTPOS6 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Tanor/BERTicSENTPOS6")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Tanor/BERTicSENTPOS6")
    model = AutoModelForSequenceClassification.from_pretrained("Tanor/BERTicSENTPOS6", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BERTicSENTPOS6
444 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
Tanor's picture
Tanor
Upload tokenizer
820c6e9 over 3 years ago
  • .gitattributes
    1.52 kB
    initial commit over 3 years ago
  • config.json
    922 Bytes
    Upload ElectraForSequenceClassification over 3 years ago
  • pytorch_model.bin
    443 MB
    xet
    Upload ElectraForSequenceClassification over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    734 kB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    389 Bytes
    Upload tokenizer over 3 years ago
  • vocab.txt
    231 kB
    Upload tokenizer over 3 years ago