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
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.9162550061554284, | |
| "eval_loss": 0.2708306312561035, | |
| "eval_runtime": 29.6687, | |
| "eval_samples_per_second": 345.347, | |
| "eval_steps_per_second": 5.427 | |
| } |