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Phat-Dat
/
Llama-3.2-1B-RM-DPO

Text Classification
Transformers
Safetensors
llama
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Phat-Dat/Llama-3.2-1B-RM-DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Phat-Dat/Llama-3.2-1B-RM-DPO with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Phat-Dat/Llama-3.2-1B-RM-DPO")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Phat-Dat/Llama-3.2-1B-RM-DPO")
    model = AutoModelForSequenceClassification.from_pretrained("Phat-Dat/Llama-3.2-1B-RM-DPO")
  • Notebooks
  • Google Colab
  • Kaggle
Llama-3.2-1B-RM-DPO
4.96 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
Phat-Dat's picture
Phat-Dat
Add tokenizer
ee649d0 verified 7 months ago
  • .gitattributes
    1.57 kB
    Add tokenizer 7 months ago
  • README.md
    5.17 kB
    Add merged Reward Model ckpt 7 months ago
  • chat_template.jinja
    3.83 kB
    Add tokenizer 7 months ago
  • config.json
    930 Bytes
    Add merged Reward Model ckpt 7 months ago
  • model.safetensors
    4.94 GB
    xet
    Add merged Reward Model ckpt 7 months ago
  • special_tokens_map.json
    454 Bytes
    Add tokenizer 7 months ago
  • tokenizer.json
    17.2 MB
    xet
    Add tokenizer 7 months ago
  • tokenizer_config.json
    50.6 kB
    Add tokenizer 7 months ago