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sofom
/
roberta-base-multitudev2

Feature Extraction
Transformers
Safetensors
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use sofom/roberta-base-multitudev2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sofom/roberta-base-multitudev2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="sofom/roberta-base-multitudev2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("sofom/roberta-base-multitudev2")
    model = AutoModel.from_pretrained("sofom/roberta-base-multitudev2")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-multitudev2
254 MB
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  • 1 contributor
History: 10 commits
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sofom
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0b250ef verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload RobertaForSequenceClassification about 1 year ago
  • config.json
    678 Bytes
    Upload model about 1 year ago
  • merges.txt
    456 kB
    Upload tokenizer about 1 year ago
  • model.safetensors
    249 MB
    xet
    Upload model 12 months ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    3.56 MB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.22 kB
    Upload tokenizer about 1 year ago
  • vocab.json
    798 kB
    Upload tokenizer about 1 year ago