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knkarthick
/
Sentiment-Analysis

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use knkarthick/Sentiment-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use knkarthick/Sentiment-Analysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="knkarthick/Sentiment-Analysis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("knkarthick/Sentiment-Analysis")
    model = AutoModelForSequenceClassification.from_pretrained("knkarthick/Sentiment-Analysis")
  • Notebooks
  • Google Colab
  • Kaggle
Sentiment-Analysis
1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
knkarthick's picture
knkarthick
First Model Version
75cd6fe over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    929 Bytes
    First Model Version over 3 years ago
  • merges.txt
    456 kB
    First Model Version over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    501 MB
    xet
    First Model Version over 3 years ago
  • special_tokens_map.json
    239 Bytes
    First Model Version over 3 years ago
  • tf_model.h5
    499 MB
    xet
    First Model Version over 3 years ago
  • vocab.json
    899 kB
    First Model Version over 3 years ago