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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download images/PathFinder.png from declare-lab/PathFinder-PRM-7B: direct link, hf CLI and curl.
- Browser
- Download file 2.12 MB
-
https://huggingface.co/declare-lab/PathFinder-PRM-7B/resolve/main/images/PathFinder.png
- Command line
-
hf download hf://declare-lab/PathFinder-PRM-7B/images/PathFinder.png
-
curl -L -o PathFinder.png https://huggingface.co/declare-lab/PathFinder-PRM-7B/resolve/main/images/PathFinder.png
2.12 MB

- Xet hash:
- e00dd9e991caf2eb152357ba932b052fca4adbce67ec710b58e2e42cd103ca83
- Size of remote file:
- 2.12 MB
- SHA256:
- 9a380c2941d87eb46aef305fbf21c7c2c19ac07e65592bd000a4fe3237f5afe0
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