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SparshSyde
/
merged_dolphin_detector_iter_2_numlabels1

Text Classification
Transformers
Safetensors
mistral
Model card Files Files and versions
xet
Community

Instructions to use SparshSyde/merged_dolphin_detector_iter_2_numlabels1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SparshSyde/merged_dolphin_detector_iter_2_numlabels1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SparshSyde/merged_dolphin_detector_iter_2_numlabels1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SparshSyde/merged_dolphin_detector_iter_2_numlabels1")
    model = AutoModelForSequenceClassification.from_pretrained("SparshSyde/merged_dolphin_detector_iter_2_numlabels1")
  • Notebooks
  • Google Colab
  • Kaggle
merged_dolphin_detector_iter_2_numlabels1
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  • 1 contributor
History: 2 commits
SparshSyde's picture
SparshSyde
Upload MistralForSequenceClassification
5a2aa28 verified about 2 years ago
  • .gitattributes
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  • README.md
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  • config.json
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  • model-00001-of-00006.safetensors
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    xet
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  • model-00005-of-00006.safetensors
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  • model-00006-of-00006.safetensors
    3.72 GB
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  • model.safetensors.index.json
    23.9 kB
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