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mukaj
/
deepseek-math-7b-rl-prm-v0.1

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

Instructions to use mukaj/deepseek-math-7b-rl-prm-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mukaj/deepseek-math-7b-rl-prm-v0.1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mukaj/deepseek-math-7b-rl-prm-v0.1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mukaj/deepseek-math-7b-rl-prm-v0.1")
    model = AutoModelForSequenceClassification.from_pretrained("mukaj/deepseek-math-7b-rl-prm-v0.1")
  • Notebooks
  • Google Colab
  • Kaggle
deepseek-math-7b-rl-prm-v0.1
13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
mukaj's picture
mukaj
Initial Commit
c90b76f verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.6 kB
    Initial Commit almost 2 years ago
  • config.json
    748 Bytes
    Initial Commit almost 2 years ago
  • model-00001-of-00003.safetensors
    4.99 GB
    xet
    Initial Commit almost 2 years ago
  • model-00002-of-00003.safetensors
    4.98 GB
    xet
    Initial Commit almost 2 years ago
  • model-00003-of-00003.safetensors
    3.01 GB
    xet
    Initial Commit almost 2 years ago
  • model.safetensors.index.json
    22.5 kB
    Initial Commit almost 2 years ago
  • special_tokens_map.json
    369 Bytes
    Initial Commit almost 2 years ago
  • tokenizer.json
    4.61 MB
    Initial Commit almost 2 years ago
  • tokenizer_config.json
    1.31 kB
    Initial Commit almost 2 years ago