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AmrSheta
/
asag_scibert_based

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

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

  • Libraries
  • Transformers

    How to use AmrSheta/asag_scibert_based with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="AmrSheta/asag_scibert_based")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AmrSheta/asag_scibert_based")
    model = AutoModelForSequenceClassification.from_pretrained("AmrSheta/asag_scibert_based")
  • Notebooks
  • Google Colab
  • Kaggle
asag_scibert_based
441 MB
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  • 1 contributor
History: 3 commits
AmrSheta's picture
AmrSheta
Upload tokenizer
1c7720b verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • config.json
    736 Bytes
    Upload BertForSequenceClassification almost 2 years ago
  • model.safetensors
    440 MB
    xet
    Upload BertForSequenceClassification almost 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    717 kB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.27 kB
    Upload tokenizer almost 2 years ago
  • vocab.txt
    228 kB
    Upload tokenizer almost 2 years ago