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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fb68b85fb28ecc02fc988a44cfe145d06ff07c2200e3fdacc48fbd6f97f6698
- Size of remote file:
- 6.71 kB
- SHA256:
- dab9b2b2efb9933d47d10632d5ea435e94c25904c444bb46ab22790c05c6f46d
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