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declare-lab
/
PathFinder-PRM-7B

Text Classification
Transformers
Safetensors
English
qwen2
text-generation
math
reasoning
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use declare-lab/PathFinder-PRM-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use declare-lab/PathFinder-PRM-7B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="declare-lab/PathFinder-PRM-7B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("declare-lab/PathFinder-PRM-7B")
    model = AutoModelForCausalLM.from_pretrained("declare-lab/PathFinder-PRM-7B")
  • Notebooks
  • Google Colab
  • Kaggle
PathFinder-PRM-7B / images
2.47 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Tej3's picture
Tej3
Upload benchmark_comparison.png
8e252e8 verified about 1 year ago
  • PathFinder.png
    2.12 MB
    xet
    Upload PathFinder.png about 1 year ago
  • benchmark_comparison.png
    345 kB
    xet
    Upload benchmark_comparison.png about 1 year ago