Feature Extraction
Transformers
Safetensors
English
qwen2
Reasoning
Retrieval
text-embeddings-inference
Instructions to use Raderspace/RaDeR_Qwen25-14B_NuminaMath_MATH_allquerytypes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raderspace/RaDeR_Qwen25-14B_NuminaMath_MATH_allquerytypes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Raderspace/RaDeR_Qwen25-14B_NuminaMath_MATH_allquerytypes")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Raderspace/RaDeR_Qwen25-14B_NuminaMath_MATH_allquerytypes") model = AutoModel.from_pretrained("Raderspace/RaDeR_Qwen25-14B_NuminaMath_MATH_allquerytypes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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