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seanmor5
/
tiny-random-mistral-classification

Text Classification
Transformers
PyTorch
mistral
Model card Files Files and versions
xet
Community
1

Instructions to use seanmor5/tiny-random-mistral-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use seanmor5/tiny-random-mistral-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="seanmor5/tiny-random-mistral-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("seanmor5/tiny-random-mistral-classification")
    model = AutoModelForSequenceClassification.from_pretrained("seanmor5/tiny-random-mistral-classification")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-mistral-classification
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  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
cdb0704 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    759 Bytes
    Upload 2 files over 2 years ago
  • model.safetensors
    4.15 MB
    xet
    Adding `safetensors` variant of this model about 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    4.16 MB
    xet
    Upload 2 files over 2 years ago