Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
trl
prm
text-generation-inference
Instructions to use plaguss/Qwen2.5-Math-1.5B-Instruct-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-1.5B-Instruct-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-1.5B-Instruct-PRM-0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("plaguss/Qwen2.5-Math-1.5B-Instruct-PRM-0.1") model = AutoModelForTokenClassification.from_pretrained("plaguss/Qwen2.5-Math-1.5B-Instruct-PRM-0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5436754891edbd3fa765e8ef3364122d6b11dc17a2bb6cb8329dbd45f632e21
- Size of remote file:
- 3.09 GB
- SHA256:
- 1b9feb554f5d69843ef7706ed341cfa79ee7cefa7be2927ca82efafa0dc37434
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