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vamcrizer
/
model_class2

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

Instructions to use vamcrizer/model_class2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vamcrizer/model_class2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="vamcrizer/model_class2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("vamcrizer/model_class2")
    model = AutoModelForSequenceClassification.from_pretrained("vamcrizer/model_class2")
  • Notebooks
  • Google Colab
  • Kaggle
model_class2
503 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
vamcrizer's picture
vamcrizer
Update README.md
1763ec3 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.23 kB
    Update README.md about 1 year ago
  • config.json
    901 Bytes
    Initial commit of classification model about 1 year ago
  • merges.txt
    456 kB
    Initial commit of classification model about 1 year ago
  • model.safetensors
    499 MB
    xet
    Initial commit of classification model about 1 year ago
  • special_tokens_map.json
    1.01 kB
    Initial commit of classification model about 1 year ago
  • tokenizer.json
    3.56 MB
    Initial commit of classification model about 1 year ago
  • tokenizer_config.json
    1.3 kB
    Initial commit of classification model about 1 year ago
  • vocab.json
    798 kB
    Initial commit of classification model about 1 year ago