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rd211
/
Qwen3-0.6B-Instruct

Text Classification
Transformers
TensorBoard
Safetensors
qwen3
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use rd211/Qwen3-0.6B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rd211/Qwen3-0.6B-Instruct with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rd211/Qwen3-0.6B-Instruct")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rd211/Qwen3-0.6B-Instruct")
    model = AutoModelForSequenceClassification.from_pretrained("rd211/Qwen3-0.6B-Instruct")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3-0.6B-Instruct
1.21 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
rd211's picture
rd211
End of training
94c82f5 verified 12 months ago
  • runs
    End of training 12 months ago
  • .gitattributes
    1.57 kB
    End of training 12 months ago
  • README.md
    1.2 kB
    End of training 12 months ago
  • added_tokens.json
    707 Bytes
    End of training 12 months ago
  • config.json
    975 Bytes
    End of training 12 months ago
  • merges.txt
    1.67 MB
    End of training 12 months ago
  • model.safetensors
    1.19 GB
    xet
    End of training 12 months ago
  • special_tokens_map.json
    613 Bytes
    End of training 12 months ago
  • tokenizer.json
    11.4 MB
    xet
    End of training 12 months ago
  • tokenizer_config.json
    9.76 kB
    End of training 12 months ago
  • training_args.bin
    5.37 kB
    xet
    End of training 12 months ago
  • vocab.json
    2.78 MB
    End of training 12 months ago