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mervp
/
SentimentBERT

Text Classification
Transformers
Safetensors
English
bert
sentiment analysis
text classification
news
reviews
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use mervp/SentimentBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mervp/SentimentBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mervp/SentimentBERT")
    model = AutoModelForSequenceClassification.from_pretrained("mervp/SentimentBERT")
  • Notebooks
  • Google Colab
  • Kaggle
SentimentBERT
439 MB
Ctrl+K
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  • 1 contributor
History: 14 commits
mervp's picture
mervp
Update README.md
6731579 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    2.61 kB
    Update README.md 11 months ago
  • config.json
    845 Bytes
    Upload 6 files 11 months ago
  • model.safetensors
    438 MB
    xet
    Upload 6 files 11 months ago
  • special_tokens_map.json
    125 Bytes
    Upload 6 files 11 months ago
  • tokenizer.json
    711 kB
    Upload 6 files 11 months ago
  • tokenizer_config.json
    1.22 kB
    Upload 6 files 11 months ago
  • vocab.txt
    232 kB
    Upload 6 files 11 months ago