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angrotanak
/
results

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

Instructions to use angrotanak/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use angrotanak/results with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="angrotanak/results")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("angrotanak/results")
    model = AutoModelForSequenceClassification.from_pretrained("angrotanak/results", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
results
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
angrotanak's picture
angrotanak
angrotanak-khmer-sentiment-ai-model
157b06e verified about 1 year ago
  • .gitattributes
    1.57 kB
    angrotanak-khmer-sentiment-ai-model about 1 year ago
  • README.md
    1.17 kB
    angrotanak-khmer-sentiment-ai-model about 1 year ago
  • config.json
    923 Bytes
    angrotanak-khmer-sentiment-ai-model about 1 year ago
  • model.safetensors
    1.11 GB
    xet
    angrotanak-khmer-sentiment-ai-model about 1 year ago
  • special_tokens_map.json
    295 Bytes
    angrotanak-khmer-sentiment-ai-model about 1 year ago
  • tokenizer.json
    17.1 MB
    xet
    angrotanak-khmer-sentiment-ai-model about 1 year ago
  • tokenizer_config.json
    1.23 kB
    angrotanak-khmer-sentiment-ai-model about 1 year ago
  • training_args.bin
    5.24 kB
    xet
    angrotanak-khmer-sentiment-ai-model about 1 year ago