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Khoa
/
sentiment-analysis-tuning-all

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

Instructions to use Khoa/sentiment-analysis-tuning-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Khoa/sentiment-analysis-tuning-all with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Khoa/sentiment-analysis-tuning-all")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Khoa/sentiment-analysis-tuning-all")
    model = AutoModelForSequenceClassification.from_pretrained("Khoa/sentiment-analysis-tuning-all")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment-analysis-tuning-all
392 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
Khoa's picture
Khoa
Upload tokenizer
9a9dae2 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload XLMRobertaForSequenceClassification over 1 year ago
  • config.json
    911 Bytes
    Upload XLMRobertaForSequenceClassification over 1 year ago
  • model.safetensors
    390 MB
    xet
    Upload XLMRobertaForSequenceClassification over 1 year ago
  • sentencepiece.bpe.model
    471 kB
    xet
    Upload tokenizer over 1 year ago
  • special_tokens_map.json
    964 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer.json
    1.1 MB
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    1.36 kB
    Upload tokenizer over 1 year ago