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jonaskoenig
/
destillbert-statementsaboutfuture

Text Classification
Transformers
google-tensorflow TensorFlow
distilbert
generated_from_keras_callback
Model card Files Files and versions
xet
Community
1

Instructions to use jonaskoenig/destillbert-statementsaboutfuture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jonaskoenig/destillbert-statementsaboutfuture with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jonaskoenig/destillbert-statementsaboutfuture")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jonaskoenig/destillbert-statementsaboutfuture")
    model = AutoModelForSequenceClassification.from_pretrained("jonaskoenig/destillbert-statementsaboutfuture")
  • Notebooks
  • Google Colab
  • Kaggle
destillbert-statementsaboutfuture
268 MB
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  • 1 contributor
History: 4 commits
jonaskoenig's picture
jonaskoenig
add model
0daee58 almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    1.11 kB
    add model almost 4 years ago
  • config.json
    538 Bytes
    add model almost 4 years ago
  • special_tokens_map.json
    125 Bytes
    add tokenizer almost 4 years ago
  • tf_model.h5
    268 MB
    xet
    add model almost 4 years ago
  • tokenizer_config.json
    412 Bytes
    add tokenizer almost 4 years ago
  • vocab.txt
    232 kB
    add tokenizer almost 4 years ago