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mohammed-hoode
/
feka

Text Classification
Transformers
Safetensors
English
distilbert
fake-news-detection
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use mohammed-hoode/feka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mohammed-hoode/feka with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mohammed-hoode/feka")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mohammed-hoode/feka")
    model = AutoModelForSequenceClassification.from_pretrained("mohammed-hoode/feka")
  • Notebooks
  • Google Colab
  • Kaggle
feka
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
mohammed-hoode's picture
mohammed-hoode
Add model card for Feka
d3283ff verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    1.72 kB
    Add model card for Feka 9 months ago
  • config.json
    593 Bytes
    Upload DistilBertForSequenceClassification 9 months ago
  • model.safetensors
    268 MB
    xet
    Upload DistilBertForSequenceClassification 9 months ago
  • special_tokens_map.json
    732 Bytes
    Upload tokenizer 9 months ago
  • tokenizer.json
    712 kB
    Upload tokenizer 9 months ago
  • tokenizer_config.json
    1.48 kB
    Upload tokenizer 9 months ago
  • vocab.txt
    232 kB
    Upload tokenizer 9 months ago