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ivanscorral
/
tweets-sentiment-model-60k-samples

Text Classification
Transformers
TensorBoard
Core ML
Safetensors
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use ivanscorral/tweets-sentiment-model-60k-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ivanscorral/tweets-sentiment-model-60k-samples with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ivanscorral/tweets-sentiment-model-60k-samples")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ivanscorral/tweets-sentiment-model-60k-samples")
    model = AutoModelForSequenceClassification.from_pretrained("ivanscorral/tweets-sentiment-model-60k-samples", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tweets-sentiment-model-60k-samples / coreml /text-classification /float32_model.mlpackage
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  • 1 contributor
History: 1 commit
ivanscorral's picture
ivanscorral
Add Core ML conversion (#1)
f99f703 over 2 years ago
  • Data
    Add Core ML conversion (#1) over 2 years ago
  • Manifest.json
    617 Bytes
    Add Core ML conversion (#1) over 2 years ago