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eralpucar1
/
CMPE346Pipeline2

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

Instructions to use eralpucar1/CMPE346Pipeline2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use eralpucar1/CMPE346Pipeline2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="eralpucar1/CMPE346Pipeline2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("eralpucar1/CMPE346Pipeline2")
    model = AutoModelForSequenceClassification.from_pretrained("eralpucar1/CMPE346Pipeline2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CMPE346Pipeline2
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
eralpucar1's picture
eralpucar1
Update README.md
c6183e4 verified about 1 year ago
  • .gitattributes
    1.57 kB
    Upload tokenizer about 1 year ago
  • README.md
    5.28 kB
    Update README.md about 1 year ago
  • config.json
    731 Bytes
    Upload XLMRobertaForSequenceClassification about 1 year ago
  • model.safetensors
    1.11 GB
    xet
    Upload XLMRobertaForSequenceClassification about 1 year ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload tokenizer about 1 year ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    17.1 MB
    xet
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.18 kB
    Upload tokenizer about 1 year ago