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DEVCamiloSepulveda
/
3-Qwen3SP-titanium

Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use DEVCamiloSepulveda/3-Qwen3SP-titanium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use DEVCamiloSepulveda/3-Qwen3SP-titanium with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSequenceClassification
    
    base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen3-1.7B")
    model = PeftModel.from_pretrained(base_model, "DEVCamiloSepulveda/3-Qwen3SP-titanium")
  • Notebooks
  • Google Colab
  • Kaggle
3-Qwen3SP-titanium
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  • 1 contributor
History: 2 commits
DEVCamiloSepulveda's picture
DEVCamiloSepulveda
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07b75b0 verified 11 months ago
  • .gitattributes
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  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
    12.9 MB
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  • added_tokens.json
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  • chat_template.jinja
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  • merges.txt
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "torch.ByteStorage"

    What is a pickle import?

    1.99 GB
    xet
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  • special_tokens_map.json
    644 Bytes
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
    5.64 kB
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  • vocab.json
    2.78 MB
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