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Mahmoud3899
/
ARATECT_model

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

Instructions to use Mahmoud3899/ARATECT_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mahmoud3899/ARATECT_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Mahmoud3899/ARATECT_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Mahmoud3899/ARATECT_model")
    model = AutoModelForSequenceClassification.from_pretrained("Mahmoud3899/ARATECT_model")
  • Notebooks
  • Google Colab
  • Kaggle
ARATECT_model
2.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Mahmoud3899's picture
Mahmoud3899
Update config.json
31a741c verified 10 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 10 months ago
  • README.md
    5.17 kB
    Upload XLMRobertaForSequenceClassification 10 months ago
  • config.json
    844 Bytes
    Update config.json 10 months ago
  • model.safetensors
    2.24 GB
    xet
    Upload XLMRobertaForSequenceClassification 10 months ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload tokenizer 10 months ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer 10 months ago
  • tokenizer.json
    17.1 MB
    xet
    Upload tokenizer 10 months ago
  • tokenizer_config.json
    1.18 kB
    Upload tokenizer 10 months ago