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BVK97
/
Discord-NFT-Sentiment

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

Instructions to use BVK97/Discord-NFT-Sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BVK97/Discord-NFT-Sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="BVK97/Discord-NFT-Sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("BVK97/Discord-NFT-Sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("BVK97/Discord-NFT-Sentiment", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Discord-NFT-Sentiment
502 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
BVK97's picture
BVK97
Update README.md
391f69a almost 4 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • README.md
    627 Bytes
    Update README.md almost 4 years ago
  • config.json
    963 Bytes
    Upload config.json almost 4 years ago
  • merges.txt
    456 kB
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    499 MB
    xet
    Upload pytorch_model.bin almost 4 years ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer.json almost 4 years ago
  • tokenizer_config.json
    1.55 kB
    Upload tokenizer_config.json almost 4 years ago
  • vocab.json
    798 kB
    Upload vocab.json almost 4 years ago