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HOLYBOY
/
Sentiment_Analysis

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use HOLYBOY/Sentiment_Analysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="HOLYBOY/Sentiment_Analysis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("HOLYBOY/Sentiment_Analysis")
    model = AutoModelForSequenceClassification.from_pretrained("HOLYBOY/Sentiment_Analysis")
  • Notebooks
  • Google Colab
  • Kaggle
Sentiment_Analysis
434 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
HOLYBOY's picture
HOLYBOY
Upload tokenizer
24a9487 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    879 Bytes
    Upload BertForSequenceClassification almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    433 MB
    xet
    Upload BertForSequenceClassification almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    669 kB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    315 Bytes
    Upload tokenizer almost 3 years ago
  • vocab.txt
    213 kB
    Upload tokenizer almost 3 years ago