Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
trl
prm
text-generation-inference
Instructions to use plaguss/Qwen2.5-Math-7B-PRM-0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use plaguss/Qwen2.5-Math-7B-PRM-0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="plaguss/Qwen2.5-Math-7B-PRM-0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("plaguss/Qwen2.5-Math-7B-PRM-0.1") model = AutoModelForTokenClassification.from_pretrained("plaguss/Qwen2.5-Math-7B-PRM-0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 217 Bytes
592f554 | 1 2 3 4 5 6 7 8 | {
"epoch": 0.999671592775041,
"eval_accuracy": 0.9262595253307568,
"eval_loss": 0.2609236240386963,
"eval_runtime": 59.1825,
"eval_samples_per_second": 173.126,
"eval_steps_per_second": 5.424
} |