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Muhammad7777
/
all-MiniLM-L6-v2-twitter-sentiment

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Muhammad7777/all-MiniLM-L6-v2-twitter-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Muhammad7777/all-MiniLM-L6-v2-twitter-sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Muhammad7777/all-MiniLM-L6-v2-twitter-sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Muhammad7777/all-MiniLM-L6-v2-twitter-sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("Muhammad7777/all-MiniLM-L6-v2-twitter-sentiment")
  • Notebooks
  • Google Colab
  • Kaggle
all-MiniLM-L6-v2-twitter-sentiment / logs
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  • 1 contributor
History: 57 commits
Muhammad7777's picture
Muhammad7777
Model save
6dc2925 verified 9 months ago
  • events.out.tfevents.1756829741.fa13a7fc373e.960.0
    24.2 kB
    xet
    Model save 9 months ago
  • events.out.tfevents.1756829885.fa13a7fc373e.960.1
    560 Bytes
    xet
    Model save 9 months ago
  • events.out.tfevents.1756830442.fa13a7fc373e.960.2
    61.5 kB
    xet
    Model save 9 months ago
  • events.out.tfevents.1756831049.fa13a7fc373e.960.3
    560 Bytes
    xet
    Model save 9 months ago