Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
trl
prm
text-generation-inference
Instructions to use HuggingFaceH4/Qwen2.5-Math-1.5B-Instruct-PRM-0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceH4/Qwen2.5-Math-1.5B-Instruct-PRM-0.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HuggingFaceH4/Qwen2.5-Math-1.5B-Instruct-PRM-0.2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceH4/Qwen2.5-Math-1.5B-Instruct-PRM-0.2") model = AutoModelForTokenClassification.from_pretrained("HuggingFaceH4/Qwen2.5-Math-1.5B-Instruct-PRM-0.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7030cf2e58dead38199a68a8cd6f6f1a609a6072d7fb38ba5f85b3bb7e21557
- Size of remote file:
- 11.4 MB
- SHA256:
- 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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