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damgomz
/
ft_bs64_lr7_base_x2

Fill-Mask
Transformers
Safetensors
English
albert
text-classification
Model card Files Files and versions
xet
Community

Instructions to use damgomz/ft_bs64_lr7_base_x2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use damgomz/ft_bs64_lr7_base_x2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="damgomz/ft_bs64_lr7_base_x2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("damgomz/ft_bs64_lr7_base_x2")
    model = AutoModelForSequenceClassification.from_pretrained("damgomz/ft_bs64_lr7_base_x2")
  • Notebooks
  • Google Colab
  • Kaggle
ft_bs64_lr7_base_x2
77.4 MB
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  • 1 contributor
History: 82 commits
damgomz's picture
damgomz
Upload tokenizer
48027ac verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    3.51 kB
    Upload README.md with huggingface_hub about 2 years ago
  • config.json
    889 Bytes
    Upload AlbertForSequenceClassification about 2 years ago
  • model.safetensors
    75.1 MB
    xet
    Upload AlbertForSequenceClassification about 2 years ago
  • special_tokens_map.json
    286 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    2.27 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.22 kB
    Upload tokenizer about 2 years ago