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samirmsallem
/
gbert-base-definition_classification

Text Classification
Transformers
Safetensors
German
bert
science
ner
def_extraction
definitions
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use samirmsallem/gbert-base-definition_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use samirmsallem/gbert-base-definition_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="samirmsallem/gbert-base-definition_classification")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("samirmsallem/gbert-base-definition_classification")
    model = AutoModelForSequenceClassification.from_pretrained("samirmsallem/gbert-base-definition_classification", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
gbert-base-definition_classification
1.32 GB
Ctrl+K
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  • 1 contributor
History: 7 commits
samirmsallem's picture
samirmsallem
Update README.md
36dc731 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.46 kB
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  • config.json
    837 Bytes
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  • model.safetensors
    440 MB
    xet
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  • optimizer.pt
    880 MB
    xet
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  • rng_state.pth
    14 kB
    xet
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  • scheduler.pt
    1.06 kB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    729 kB
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  • tokenizer_config.json
    1.29 kB
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  • trainer_state.json
    3.52 kB
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  • training_args.bin
    5.3 kB
    xet
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  • vocab.txt
    240 kB
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