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am-azadi
/
RoBERTa-base-model

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

Instructions to use am-azadi/RoBERTa-base-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use am-azadi/RoBERTa-base-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="am-azadi/RoBERTa-base-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("am-azadi/RoBERTa-base-model")
    model = AutoModelForSequenceClassification.from_pretrained("am-azadi/RoBERTa-base-model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
RoBERTa-base-model
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  • 1 contributor
History: 2 commits
am-azadi's picture
am-azadi
Upload folder using huggingface_hub
a8e80fe verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    1.08 kB
    Upload folder using huggingface_hub over 2 years ago
  • model.safetensors
    1.11 GB
    xet
    Upload folder using huggingface_hub over 2 years ago