Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
trl
stepwise-reward-trainer
text-generation-inference
Instructions to use plaguss/Qwen2.5-0.5B-Math-Shepherd-PRM-token-0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use plaguss/Qwen2.5-0.5B-Math-Shepherd-PRM-token-0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="plaguss/Qwen2.5-0.5B-Math-Shepherd-PRM-token-0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("plaguss/Qwen2.5-0.5B-Math-Shepherd-PRM-token-0.1") model = AutoModelForTokenClassification.from_pretrained("plaguss/Qwen2.5-0.5B-Math-Shepherd-PRM-token-0.1") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
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