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sweenk
/
snt-classifier

Text Classification
Transformers
Safetensors
multilingual
snt_classifier
feature-extraction
news
topic-classification
multi-label
xlm-roberta
custom_code
Model card Files Files and versions
xet
Community

Instructions to use sweenk/snt-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sweenk/snt-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="sweenk/snt-classifier", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("sweenk/snt-classifier", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
snt-classifier
2.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
lkvantaliani's picture
lkvantaliani
docs: remove non-public API endpoint from card
659559c verified about 16 hours ago
  • .gitattributes
    1.57 kB
    SNT classifier v0.5.1 10 days ago
  • README.md
    8.57 kB
    docs: remove non-public API endpoint from card about 16 hours ago
  • config.json
    8.26 kB
    SNT classifier v0.6 about 17 hours ago
  • model.safetensors
    2.24 GB
    xet
    SNT classifier v0.6 about 17 hours ago
  • modeling_snt.py
    4.12 kB
    SNT classifier v0.5.1 10 days ago
  • tokenizer.json
    17.1 MB
    xet
    SNT classifier v0.5.1 10 days ago
  • tokenizer_config.json
    342 Bytes
    SNT classifier v0.5.1 10 days ago