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semaj83
/
ctmatch-clf-R

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

Instructions to use semaj83/ctmatch-clf-R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use semaj83/ctmatch-clf-R with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="semaj83/ctmatch-clf-R")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("semaj83/ctmatch-clf-R")
    model = AutoModelForSequenceClassification.from_pretrained("semaj83/ctmatch-clf-R", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ctmatch-clf-R
1.33 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
semaj83's picture
semaj83
Upload tokenizer
1ab03d9 verified 7 days ago
  • .gitattributes
    1.52 kB
    initial commit 7 days ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification 7 days ago
  • config.json
    1.01 kB
    Upload BertForSequenceClassification 7 days ago
  • model.safetensors
    1.33 GB
    xet
    Upload BertForSequenceClassification 7 days ago
  • tokenizer.json
    679 kB
    Upload tokenizer 7 days ago
  • tokenizer_config.json
    538 Bytes
    Upload tokenizer 7 days ago