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regolo
/
brick-sysone-V1

Text Classification
Transformers
Safetensors
English
modernbert
llm-routing
capability-vector
system-one
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use regolo/brick-sysone-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use regolo/brick-sysone-V1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="regolo/brick-sysone-V1")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("regolo/brick-sysone-V1")
    model = AutoModelForSequenceClassification.from_pretrained("regolo/brick-sysone-V1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
brick-sysone-V1
795 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
massaindustries's picture
massaindustries
docs: add install and terminal chat quickstart (#1)
074d7cf 17 days ago
  • .gitattributes
    1.52 kB
    initial commit 25 days ago
  • LICENSE
    11.4 kB
    docs: add Apache-2.0 license and complete model card 19 days ago
  • README.md
    4.31 kB
    docs: add install and terminal chat quickstart (#1) 17 days ago
  • config.json
    2.5 kB
    Upload folder using huggingface_hub 25 days ago
  • model.safetensors
    792 MB
    xet
    Upload folder using huggingface_hub 25 days ago
  • tokenizer.json
    3.58 MB
    Upload folder using huggingface_hub 25 days ago
  • tokenizer_config.json
    380 Bytes
    Upload folder using huggingface_hub 25 days ago
  • training_args.bin
    5.27 kB
    xet
    Upload folder using huggingface_hub 25 days ago