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weqweasdas
/
RM-Gemma-2B

Text Classification
Transformers
Safetensors
gemma
Model card Files Files and versions
xet
Community
3

Instructions to use weqweasdas/RM-Gemma-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use weqweasdas/RM-Gemma-2B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="weqweasdas/RM-Gemma-2B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("weqweasdas/RM-Gemma-2B")
    model = AutoModelForSequenceClassification.from_pretrained("weqweasdas/RM-Gemma-2B")
  • Notebooks
  • Google Colab
  • Kaggle
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  • Code of Conduct
  • Hub documentation

why model arch is GemmaForSequenceClassification ?

#3 opened over 1 year ago by
mshojaei77

model RM how?

#2 opened over 1 year ago by
NickyNicky

"Tokenizer class GemmaTokenizer does not exist or is not currently imported."

#1 opened about 2 years ago by
fchaubard
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