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
- Xet hash:
- 27d35961e51fee31478ec26578fb054b8a25f35f30b89938f1dd04b8afb76155
- Size of remote file:
- 4.33 GB
- SHA256:
- 566ccc30d67d4ef51218703ccbf782c758927930d1e63ca076e55f08648a35b4
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