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mdraw
/
german-news-sentiment-bert

Text Classification
Transformers
PyTorch
JAX
Safetensors
bert
Model card Files Files and versions
xet
Community
1

Instructions to use mdraw/german-news-sentiment-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mdraw/german-news-sentiment-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mdraw/german-news-sentiment-bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mdraw/german-news-sentiment-bert")
    model = AutoModelForSequenceClassification.from_pretrained("mdraw/german-news-sentiment-bert")
  • Notebooks
  • Google Colab
  • Kaggle
german-news-sentiment-bert
1.31 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 7 commits
mdraw's picture
mdraw
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
6e3e756 over 3 years ago
  • .gitattributes
    790 Bytes
    Adding `safetensors` variant of this model (#1) over 3 years ago
  • README.md
    1.46 kB
    Add more info to readme over 5 years ago
  • config.json
    859 Bytes
    Add German sentiment BERT finetuned on news data over 5 years ago
  • flax_model.msgpack
    436 MB
    xet
    upload flax model about 5 years ago
  • model.safetensors
    436 MB
    xet
    Adding `safetensors` variant of this model (#1) over 3 years ago
  • pytorch_model.bin
    436 MB
    xet
    Add German sentiment BERT finetuned on news data over 5 years ago
  • special_tokens_map.json
    112 Bytes
    Add German sentiment BERT finetuned on news data over 5 years ago
  • tokenizer_config.json
    517 Bytes
    Add German sentiment BERT finetuned on news data over 5 years ago
  • vocab.txt
    255 kB
    Add German sentiment BERT finetuned on news data over 5 years ago