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davebulaval
/
MeaningBERT

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

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

  • Libraries
  • Transformers

    How to use davebulaval/MeaningBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="davebulaval/MeaningBERT")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("davebulaval/MeaningBERT")
    model = AutoModelForSequenceClassification.from_pretrained("davebulaval/MeaningBERT", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
MeaningBERT
2.19 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 29 commits
davebulaval's picture
davebulaval
make truncation explicit: deberta-v3-large declares no maximum length
c962482 verified 10 days ago
  • large
    add the v2 large checkpoint under large/ (deberta-v3-large, clamped head, seed 45 of 10 on dev loss) 10 days ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    13.5 kB
    make truncation explicit: deberta-v3-large declares no maximum length 10 days ago
  • config.json
    785 Bytes
    Upload BertForSequenceClassification over 2 years ago
  • model.safetensors
    438 MB
    xet
    Upload BertForSequenceClassification over 2 years ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    712 kB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.38 kB
    Upload tokenizer over 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer almost 3 years ago