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Kdogs
/
topic_IT-Science_bert

Fill-Mask
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use Kdogs/topic_IT-Science_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Kdogs/topic_IT-Science_bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Kdogs/topic_IT-Science_bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Kdogs/topic_IT-Science_bert")
    model = AutoModelForMaskedLM.from_pretrained("Kdogs/topic_IT-Science_bert")
  • Notebooks
  • Google Colab
  • Kaggle
topic_IT-Science_bert
444 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Kdogs's picture
Kdogs
1epochs-32batch-noNSP-3790000
92dd856 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    626 Bytes
    1epochs-32batch-noNSP-3790000 about 3 years ago
  • pytorch_model.bin
    443 MB
    xet
    1epochs-32batch-noNSP-3790000 about 3 years ago
  • special_tokens_map.json
    125 Bytes
    1epochs-32batch-noNSP-3790000 about 3 years ago
  • tokenizer.json
    752 kB
    1epochs-32batch-noNSP-3790000 about 3 years ago
  • tokenizer_config.json
    530 Bytes
    1epochs-32batch-noNSP-3790000 about 3 years ago
  • vocab.txt
    248 kB
    1epochs-32batch-noNSP-3790000 about 3 years ago