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star092304
/
cefr-level-deberta-v3-base

Text Classification
Transformers
Safetensors
English
deberta-v2
cefr
vocabulary
english-learning
education
deberta-v3
word-level-classification
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use star092304/cefr-level-deberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use star092304/cefr-level-deberta-v3-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="star092304/cefr-level-deberta-v3-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("star092304/cefr-level-deberta-v3-base")
    model = AutoModelForSequenceClassification.from_pretrained("star092304/cefr-level-deberta-v3-base")
  • Notebooks
  • Google Colab
  • Kaggle
cefr-level-deberta-v3-base
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  • 1 contributor
History: 7 commits
star092304's picture
star092304
up code training for kaggle
895fabc verified 3 days ago
  • inference
    Upload inference/inference_for_colab.ipynb 3 days ago
  • src
    up code training for kaggle 3 days ago
  • training_plots
    up training plots 3 days ago
  • .gitattributes
    1.73 kB
    up code training for kaggle 3 days ago
  • README.md
    4.68 kB
    Upload README.md 3 days ago
  • added_tokens.json
    23 Bytes
    Up file model 3 days ago
  • config.json
    1.06 kB
    Up file model 3 days ago
  • model.safetensors
    738 MB
    xet
    Up file model 3 days ago
  • special_tokens_map.json
    286 Bytes
    Up file model 3 days ago
  • spm.model
    2.46 MB
    xet
    Up file model 3 days ago
  • tokenizer.json
    8.66 MB
    Up file model 3 days ago
  • tokenizer_config.json
    1.32 kB
    Up file model 3 days ago