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jmcochrane
/
Model_600KGEN_EN_ES

Text Classification
Transformers
Safetensors
xlm-roberta-xl
Model card Files Files and versions
xet
Community

Instructions to use jmcochrane/Model_600KGEN_EN_ES with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jmcochrane/Model_600KGEN_EN_ES with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jmcochrane/Model_600KGEN_EN_ES")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jmcochrane/Model_600KGEN_EN_ES")
    model = AutoModelForSequenceClassification.from_pretrained("jmcochrane/Model_600KGEN_EN_ES")
  • Notebooks
  • Google Colab
  • Kaggle
Model_600KGEN_EN_ES
13.9 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
jmcochrane's picture
jmcochrane
Upload tokenizer
0200235 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.17 kB
    Upload XLMRobertaXLForSequenceClassification 6 months ago
  • config.json
    907 Bytes
    Upload XLMRobertaXLForSequenceClassification 6 months ago
  • model-00001-of-00003.safetensors
    4.99 GB
    xet
    Upload XLMRobertaXLForSequenceClassification 6 months ago
  • model-00002-of-00003.safetensors
    4.93 GB
    xet
    Upload XLMRobertaXLForSequenceClassification 6 months ago
  • model-00003-of-00003.safetensors
    4.01 GB
    xet
    Upload XLMRobertaXLForSequenceClassification 6 months ago
  • model.safetensors.index.json
    54.6 kB
    Upload XLMRobertaXLForSequenceClassification 6 months ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload tokenizer 6 months ago
  • special_tokens_map.json
    963 Bytes
    Upload tokenizer 6 months ago
  • tokenizer_config.json
    1.23 kB
    Upload tokenizer 6 months ago