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Enkhmanlai
/
mmbert-news-classifier

Text Classification
Transformers
Safetensors
modernbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Enkhmanlai/mmbert-news-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Enkhmanlai/mmbert-news-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Enkhmanlai/mmbert-news-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Enkhmanlai/mmbert-news-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("Enkhmanlai/mmbert-news-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
mmbert-news-classifier
597 MB
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  • 1 contributor
History: 4 commits
Enkhmanlai's picture
Enkhmanlai
Upload label_encoder.pkl with huggingface_hub
b74d0b5 verified 8 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 8 months ago
  • README.md
    5.17 kB
    Upload ModernBertForSequenceClassification 8 months ago
  • config.json
    1.66 kB
    Upload ModernBertForSequenceClassification 8 months ago
  • label_encoder.pkl
    560 Bytes
    xet
    Upload label_encoder.pkl with huggingface_hub 8 months ago
  • model.safetensors
    563 MB
    xet
    Upload ModernBertForSequenceClassification 8 months ago
  • special_tokens_map.json
    1.05 kB
    Upload tokenizer 8 months ago
  • tokenizer.json
    34.4 MB
    xet
    Upload tokenizer 8 months ago
  • tokenizer_config.json
    46.5 kB
    Upload tokenizer 8 months ago