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NvbilVmir1
/
Madar

Text Classification
Transformers
Safetensors
electra
Model card Files Files and versions
xet
Community

Instructions to use NvbilVmir1/Madar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NvbilVmir1/Madar with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="NvbilVmir1/Madar")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("NvbilVmir1/Madar")
    model = AutoModelForSequenceClassification.from_pretrained("NvbilVmir1/Madar")
  • Notebooks
  • Google Colab
  • Kaggle
Madar
240 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
NvbilVmir1's picture
NvbilVmir1
Upload tokenizer
85826bb verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification 7 months ago
  • config.json
    1.04 kB
    Upload ElectraForSequenceClassification 7 months ago
  • model.safetensors
    237 MB
    xet
    Upload ElectraForSequenceClassification 7 months ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer 7 months ago
  • tokenizer.json
    1.78 MB
    Upload tokenizer 7 months ago
  • tokenizer_config.json
    2.05 kB
    Upload tokenizer 7 months ago
  • vocab.txt
    761 kB
    Upload tokenizer 7 months ago