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LARK-Lab
/
CodeScaler-1.7B

Text Classification
Transformers
Safetensors
English
qwen3
reward
RM
Code
CodeScaler
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use LARK-Lab/CodeScaler-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LARK-Lab/CodeScaler-1.7B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="LARK-Lab/CodeScaler-1.7B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("LARK-Lab/CodeScaler-1.7B")
    model = AutoModelForSequenceClassification.from_pretrained("LARK-Lab/CodeScaler-1.7B")
  • Notebooks
  • Google Colab
  • Kaggle
CodeScaler-1.7B
3.46 GB
Ctrl+K
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  • 1 contributor
History: 6 commits
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shawnxzhu
Update README.md
3db4f02 verified 2 months ago
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  • README.md
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  • added_tokens.json
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  • chat_template.jinja
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  • config.json
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  • merges.txt
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  • model.safetensors
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.json
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