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JunHowie
/
Fin-R1-FP8-Dynamic

Feature Extraction
Transformers
Safetensors
qwen2
text-embeddings-inference
compressed-tensors
Model card Files Files and versions
xet
Community

Instructions to use JunHowie/Fin-R1-FP8-Dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JunHowie/Fin-R1-FP8-Dynamic with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="JunHowie/Fin-R1-FP8-Dynamic")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("JunHowie/Fin-R1-FP8-Dynamic")
    model = AutoModel.from_pretrained("JunHowie/Fin-R1-FP8-Dynamic")
  • Notebooks
  • Google Colab
  • Kaggle
Fin-R1-FP8-Dynamic
7.63 GB
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  • 1 contributor
History: 3 commits
JunHowie's picture
JunHowie
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cf211e7 verified about 1 year ago
  • .gitattributes
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  • README.md
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  • added_tokens.json
    605 Bytes
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  • config.json
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  • merges.txt
    1.67 MB
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  • model-00001-of-00002.safetensors
    4.99 GB
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  • model-00002-of-00002.safetensors
    2.63 GB
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  • model.safetensors.index.json
    41.6 kB
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    7.34 kB
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  • vocab.json
    2.78 MB
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