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project-themis
/
Themis-RM-1.7B

Text Classification
Transformers
Safetensors
English
qwen3
code
reward-model
multilingual
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use project-themis/Themis-RM-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use project-themis/Themis-RM-1.7B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="project-themis/Themis-RM-1.7B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("project-themis/Themis-RM-1.7B")
    model = AutoModelForSequenceClassification.from_pretrained("project-themis/Themis-RM-1.7B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Themis-RM-1.7B
6.88 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
iNeil77's picture
iNeil77
Upload Qwen3ForSequenceClassification
880c196 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    5.17 kB
    Upload Qwen3ForSequenceClassification 11 months ago
  • config.json
    844 Bytes
    Upload Qwen3ForSequenceClassification 11 months ago
  • model-00001-of-00002.safetensors
    4.97 GB
    xet
    Upload Qwen3ForSequenceClassification 11 months ago
  • model-00002-of-00002.safetensors
    1.91 GB
    xet
    Upload Qwen3ForSequenceClassification 11 months ago
  • model.safetensors.index.json
    25.6 kB
    Upload Qwen3ForSequenceClassification 11 months ago