Text Classification
Transformers
Safetensors
English
Chinese
qwen2
feature-extraction
reward model
custom_code
text-embeddings-inference
Instructions to use Qwen/Qwen2.5-Math-RM-72B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qwen/Qwen2.5-Math-RM-72B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Qwen/Qwen2.5-Math-RM-72B", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-Math-RM-72B", trust_remote_code=True) model = AutoModel.from_pretrained("Qwen/Qwen2.5-Math-RM-72B", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
safetensors_rust.SafetensorError: Error while deserializing header: HeaderTooLarge
#7
by rm666 - opened
When attempting to load the Qwen2.5-Math-RM-72B model, I encountered the following error: 'safetensors_rust.SafetensorError: Error while deserializing header: HeaderTooLarge'
Please provide the details of your code and runtime environment so that we can help identify the issue.
try redownloading the file?
Thank you! The issue was resolved once I re-downloaded the file.
rm666 changed discussion status to closed