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Khoa
/
sentiment-analysis-tuning

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

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Khoa/sentiment-analysis-tuning")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Khoa/sentiment-analysis-tuning")
    model = AutoModelForSequenceClassification.from_pretrained("Khoa/sentiment-analysis-tuning")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment-analysis-tuning
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  • 1 contributor
History: 3 commits
Khoa's picture
Khoa
Upload tokenizer
91b118a verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
    Upload XLMRobertaForSequenceClassification almost 2 years ago
  • config.json
    917 Bytes
    Upload XLMRobertaForSequenceClassification almost 2 years ago
  • model.safetensors
    390 MB
    xet
    Upload XLMRobertaForSequenceClassification almost 2 years ago
  • sentencepiece.bpe.model
    471 kB
    xet
    Upload tokenizer almost 2 years ago
  • special_tokens_map.json
    964 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    1.1 MB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.28 kB
    Upload tokenizer almost 2 years ago