Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

Nadasr
/
sentAnalysisModel

Text Classification
Transformers
Safetensors
Arabic
bert
sentiment
arabic
classification
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Nadasr/sentAnalysisModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Nadasr/sentAnalysisModel")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Nadasr/sentAnalysisModel")
    model = AutoModelForSequenceClassification.from_pretrained("Nadasr/sentAnalysisModel")
  • Notebooks
  • Google Colab
  • Kaggle
sentAnalysisModel
437 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Nadasr's picture
Nadasr
Upload BertForSequenceClassification
96d8e99 verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    5.26 kB
    Update README.md 5 months ago
  • config.json
    842 Bytes
    Upload BertForSequenceClassification 5 months ago
  • model.safetensors
    436 MB
    xet
    Upload BertForSequenceClassification 5 months ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer 5 months ago
  • tokenizer.json
    776 kB
    Upload tokenizer 5 months ago
  • tokenizer_config.json
    1.32 kB
    Upload tokenizer 5 months ago
  • vocab.txt
    305 kB
    Upload tokenizer 5 months ago