Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
trl
prm
text-generation-inference
Instructions to use hzy/Qwen2.5-Math-7B-Instruct-PRM-Modified-math_shepherd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hzy/Qwen2.5-Math-7B-Instruct-PRM-Modified-math_shepherd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hzy/Qwen2.5-Math-7B-Instruct-PRM-Modified-math_shepherd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hzy/Qwen2.5-Math-7B-Instruct-PRM-Modified-math_shepherd") model = AutoModelForTokenClassification.from_pretrained("hzy/Qwen2.5-Math-7B-Instruct-PRM-Modified-math_shepherd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f7a771e4324b2bf1287fe62a1d8fa26d3b481b20f727c7736173d663e1d8925
- Size of remote file:
- 7.03 kB
- SHA256:
- 36ffe2612323e0057f03d1c7d9f434def6f45119e151e6c6a5703ab437b81d27
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