Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
trl
prm
text-generation-inference
Instructions to use HuggingFaceH4/Qwen2.5-Math-7B-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-7B-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-7B-Instruct-PRM-0.2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceH4/Qwen2.5-Math-7B-Instruct-PRM-0.2") model = AutoModelForTokenClassification.from_pretrained("HuggingFaceH4/Qwen2.5-Math-7B-Instruct-PRM-0.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1011589e2c7426701ab000794031111d9b5385d7e27f322ca4bb5375e57757e0
- Size of remote file:
- 6.78 kB
- SHA256:
- 796bac83b7a7d056240548a4f08f52aeaf570930efba95f8ef9226495e336160
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