Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
trl
prm
text-generation-inference
Instructions to use HuggingFaceH4/Qwen2.5-Math-1.5B-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-1.5B-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-1.5B-Instruct-PRM-0.2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceH4/Qwen2.5-Math-1.5B-Instruct-PRM-0.2") model = AutoModelForTokenClassification.from_pretrained("HuggingFaceH4/Qwen2.5-Math-1.5B-Instruct-PRM-0.2") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
7bd295f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
size 11421896
|