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Herais
/
pred_timeperiod

Text Classification
Transformers
PyTorch
Safetensors
Chinese
bert
classification
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Herais/pred_timeperiod with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Herais/pred_timeperiod")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Herais/pred_timeperiod")
    model = AutoModelForSequenceClassification.from_pretrained("Herais/pred_timeperiod")
  • Notebooks
  • Google Colab
  • Kaggle
pred_timeperiod
819 MB
Ctrl+K
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  • 2 contributors
History: 10 commits
Herais's picture
Herais
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
396b578 about 3 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • README.md
    2.13 kB
    Update README.md about 4 years ago
  • config.json
    1.26 kB
    add model over 4 years ago
  • model.safetensors
    409 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    409 MB
    xet
    add model over 4 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer over 4 years ago
  • tokenizer.json
    269 kB
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  • tokenizer_config.json
    566 Bytes
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  • vocab.txt
    110 kB
    add tokenizer over 4 years ago