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Softechlb
/
Sent_analysis_CVs

Text Classification
Transformers
PyTorch
Safetensors
distilbert
sentiment-analysis
zero-shot-distillation
distillation
zero-shot-classification
debarta-v3
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Softechlb/Sent_analysis_CVs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Softechlb/Sent_analysis_CVs")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Softechlb/Sent_analysis_CVs")
    model = AutoModelForSequenceClassification.from_pretrained("Softechlb/Sent_analysis_CVs")
  • Notebooks
  • Google Colab
  • Kaggle
Sent_analysis_CVs
Ctrl+K
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  • 1 contributor
History: 1 commit
Mohamadlh's picture
Mohamadlh
initial commit
6b9672e almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago