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brivangl
/
qwenar-0.6b

Feature Extraction
Transformers
Safetensors
English
qwenar
sentence-embeddings
sentence-autoencoder
text-reconstruction
sonar
large-concept-model
dora
relora
custom_code
Model card Files Files and versions
xet
Community

Instructions to use brivangl/qwenar-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use brivangl/qwenar-0.6b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="brivangl/qwenar-0.6b", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("brivangl/qwenar-0.6b", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
qwenar-0.6b
2.42 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
brivangl's picture
brivangl
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d2af508 verified 29 days ago
  • encoder_tokenizer
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  • .gitattributes
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  • LICENSE
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  • NOTICE
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  • README.md
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  • THIRD_PARTY.md
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  • bridge.py
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  • chat_template.jinja
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  • config.json
    3.75 kB
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  • configuration_qwenar.py
    3.85 kB
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  • losses.py
    4.38 kB
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  • model.safetensors
    2.39 GB
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  • modeling_qwenar.py
    9.9 kB
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  • pplx_configuration.py
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  • pplx_modeling.py
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
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