Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
trl
prm
text-generation-inference
Instructions to use alothomas/Qwen2.5-0.5B-PRM-RAD-balanced-V4 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-V4 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-V4")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("alothomas/Qwen2.5-0.5B-PRM-RAD-balanced-V4") model = AutoModelForTokenClassification.from_pretrained("alothomas/Qwen2.5-0.5B-PRM-RAD-balanced-V4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cc0f7d85ac1fe807c9075c7e2d94a1997edcec22eeccddb843a623209ca43ce
- Size of remote file:
- 5.56 kB
- SHA256:
- 1bd4c6330091881e1c611269c0882054cb8dfb310b7063e758128c2fa0c84490
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