Text Classification
Transformers
Safetensors
English
qwen2
text-generation
math
reasoning
text-embeddings-inference
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
Update README.md
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README.md
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- **Repository:** https://github.com/declare-lab/PathFinder-PRM
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For more details, please refer to our paper and Github repository.
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- **Repository:** https://github.com/declare-lab/PathFinder-PRM
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<!-- - **Paper:** [More Information Needed] -->
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For more details, please refer to our paper and Github repository.
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