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rmihaylov
/
roberta-base-sentiment-bg

Text Classification
Transformers
PyTorch
Bulgarian
xlm-roberta
torch
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use rmihaylov/roberta-base-sentiment-bg with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rmihaylov/roberta-base-sentiment-bg", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rmihaylov/roberta-base-sentiment-bg", trust_remote_code=True)
    model = AutoModelForSequenceClassification.from_pretrained("rmihaylov/roberta-base-sentiment-bg", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-sentiment-bg
453 MB
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  • 1 contributor
History: 4 commits
rmihaylov's picture
rmihaylov
Create README.md
47106fa about 4 years ago
  • .gitattributes
    1.22 kB
    initial commit about 4 years ago
  • README.md
    923 Bytes
    Create README.md about 4 years ago
  • config.json
    858 Bytes
    add model about 4 years ago
  • modeling_roberta.py
    454 Bytes
    add model about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage",
    • "torch.FloatStorage"

    What is a pickle import?

    446 MB
    xet
    add model about 4 years ago
  • sentencepiece.bpe.model
    1.77 MB
    xet
    add tokenizer about 4 years ago
  • special_tokens_map.json
    150 Bytes
    add tokenizer about 4 years ago
  • tokenizer.json
    6.07 MB
    add tokenizer about 4 years ago
  • tokenizer_config.json
    578 Bytes
    add tokenizer about 4 years ago