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Muhammed21s
/
sentibert

Text Classification
Transformers
Safetensors
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Muhammed21s/sentibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Muhammed21s/sentibert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Muhammed21s/sentibert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Muhammed21s/sentibert")
    model = AutoModelForSequenceClassification.from_pretrained("Muhammed21s/sentibert")
  • Notebooks
  • Google Colab
  • Kaggle
sentibert
503 MB
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  • 1 contributor
History: 3 commits
Muhammed21s's picture
Muhammed21s
Upload tokenizer
d025f45 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    5.17 kB
    Upload RobertaForSequenceClassification 10 months ago
  • config.json
    965 Bytes
    Upload RobertaForSequenceClassification 10 months ago
  • merges.txt
    456 kB
    Upload tokenizer 10 months ago
  • model.safetensors
    499 MB
    xet
    Upload RobertaForSequenceClassification 10 months ago
  • special_tokens_map.json
    958 Bytes
    Upload tokenizer 10 months ago
  • tokenizer.json
    3.56 MB
    Upload tokenizer 10 months ago
  • tokenizer_config.json
    1.27 kB
    Upload tokenizer 10 months ago
  • vocab.json
    798 kB
    Upload tokenizer 10 months ago