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RecordedFuture
/
Swedish-Sentiment-Fear

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Swedish
bert
Model card Files Files and versions
xet
Community
1

Instructions to use RecordedFuture/Swedish-Sentiment-Fear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RecordedFuture/Swedish-Sentiment-Fear with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="RecordedFuture/Swedish-Sentiment-Fear")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("RecordedFuture/Swedish-Sentiment-Fear")
    model = AutoModelForSequenceClassification.from_pretrained("RecordedFuture/Swedish-Sentiment-Fear")
  • Notebooks
  • Google Colab
  • Kaggle
Swedish-Sentiment-Fear
Ctrl+K
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  • 2 contributors
History: 10 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
7764733 almost 5 years ago
  • .gitattributes
    736 Bytes
    allow flax almost 5 years ago
  • README.md
    3.3 kB
    another readme fix about 5 years ago
  • config.json
    816 Bytes
    updated path in config to RecordedFuture almost 5 years ago
  • flax_model.msgpack
    499 MB
    xet
    upload flax model almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    499 MB
    xet
    R1 about 5 years ago
  • special_tokens_map.json
    112 Bytes
    R1 about 5 years ago
  • tf_model.h5
    499 MB
    xet
    R1 about 5 years ago
  • tokenizer_config.json
    508 Bytes
    R1 about 5 years ago
  • vocab.txt
    399 kB
    R1 about 5 years ago