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anyforge
/
ruhui

Text Classification
Transformers
Safetensors
multilingual
en
zh
ruhui
jev
laya
system-one
calibrated-decisions
rlcd
classification
routing
scoring
guardrails
moderation
reinforcement-learning
commercial-use
Model card Files Files and versions
xet
Community

Instructions to use anyforge/ruhui with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use anyforge/ruhui with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="anyforge/ruhui")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("anyforge/ruhui", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ruhui
2.21 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
hopex-ai's picture
hopex-ai
Update README.md
9e82344 verified about 3 hours ago
  • 0.8B
    upload 0.8B LLM model (merged) about 7 hours ago
  • encoder
    upload ruhui checkpoint 1 day ago
  • tokenizer
    upload ruhui checkpoint 1 day ago
  • .gitattributes
    1.64 kB
    upload 0.8B LLM model (merged) about 7 hours ago
  • README.md
    8.91 kB
    Update README.md about 3 hours ago
  • config.json
    0 Bytes
    Create config.json 1 day ago
  • model.safetensors
    644 MB
    xet
    upload ruhui checkpoint 1 day ago
  • rl_agent_config.json
    533 Bytes
    upload ruhui checkpoint 1 day ago