Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

MatteoFasulo
/
xlm-roberta-base

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

Instructions to use MatteoFasulo/xlm-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MatteoFasulo/xlm-roberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MatteoFasulo/xlm-roberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MatteoFasulo/xlm-roberta-base")
    model = AutoModelForSequenceClassification.from_pretrained("MatteoFasulo/xlm-roberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta-base
1.11 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
MatteoFasulo's picture
MatteoFasulo
End of training
9bb22d2 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.1 kB
    End of training over 1 year ago
  • config.json
    870 Bytes
    End of training over 1 year ago
  • model.safetensors
    1.11 GB
    xet
    End of training over 1 year ago
  • training_args.bin
    5.3 kB
    xet
    End of training over 1 year ago