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0x7o
/
rubert-rm-large-v2

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

Instructions to use 0x7o/rubert-rm-large-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 0x7o/rubert-rm-large-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="0x7o/rubert-rm-large-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("0x7o/rubert-rm-large-v2")
    model = AutoModelForSequenceClassification.from_pretrained("0x7o/rubert-rm-large-v2")
  • Notebooks
  • Google Colab
  • Kaggle
rubert-rm-large-v2
1.71 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
0x7o
Upload tokenizer
6d9ef8f verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    920 Bytes
    Upload BertForSequenceClassification over 2 years ago
  • model.safetensors
    1.71 GB
    xet
    Upload BertForSequenceClassification over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    3.71 MB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.27 kB
    Upload tokenizer over 2 years ago
  • vocab.txt
    1.78 MB
    Upload tokenizer over 2 years ago