Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
trl
prm
text-generation-inference
Instructions to use alothomas/Qwen2.5-0.5B-PRM-RAD-balanced-V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alothomas/Qwen2.5-0.5B-PRM-RAD-balanced-V3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="alothomas/Qwen2.5-0.5B-PRM-RAD-balanced-V3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("alothomas/Qwen2.5-0.5B-PRM-RAD-balanced-V3") model = AutoModelForTokenClassification.from_pretrained("alothomas/Qwen2.5-0.5B-PRM-RAD-balanced-V3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 11000
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