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SpiceeChat
/
Genre-Classifier-1-20M-BASE-BF16

Text Classification
Transformers
Safetensors
English
firstname_gender
feature-extraction
gender-classification
first-name
causal-lm
spiceechat
custom_code
Model card Files Files and versions
xet
Community

Instructions to use SpiceeChat/Genre-Classifier-1-20M-BASE-BF16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SpiceeChat/Genre-Classifier-1-20M-BASE-BF16 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SpiceeChat/Genre-Classifier-1-20M-BASE-BF16", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("SpiceeChat/Genre-Classifier-1-20M-BASE-BF16", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Genre-Classifier-1-20M-BASE-BF16
42.5 MB
Ctrl+K
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  • 2 contributors
History: 6 commits
QuantaSparkLabs's picture
QuantaSparkLabs
Update README.md
1e67947 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    3.82 kB
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  • config.json
    703 Bytes
    Upload 10 files about 2 months ago
  • generation_config.json
    68 Bytes
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  • merges.txt
    303 kB
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  • model.safetensors
    39.4 MB
    xet
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  • modeling_firstname_gender.py
    7.8 kB
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  • requirements.txt
    56 Bytes
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  • special_tokens_map.json
    124 Bytes
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  • tokenizer.json
    2.32 MB
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  • tokenizer_config.json
    341 Bytes
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  • train_firstname_gender_prod3.py
    25.1 kB
    Upload train_firstname_gender_prod3.py about 1 month ago
  • vocab.json
    522 kB
    Upload 10 files about 2 months ago