Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

Everlyn
/
sentiment_model2

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

Instructions to use Everlyn/sentiment_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Everlyn/sentiment_model2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Everlyn/sentiment_model2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Everlyn/sentiment_model2")
    model = AutoModelForSequenceClassification.from_pretrained("Everlyn/sentiment_model2")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment_model2
997 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
4bbff4a verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    979 Bytes
    Upload RobertaForSequenceClassification over 2 years ago
  • model.safetensors
    499 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    499 MB
    xet
    Upload RobertaForSequenceClassification over 2 years ago