Text Classification
Transformers
Safetensors
English
qwen3
nvidia
reward-model
text-embeddings-inference
Instructions to use nvidia/Qwen-3-Nemotron-32B-Reward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/Qwen-3-Nemotron-32B-Reward with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nvidia/Qwen-3-Nemotron-32B-Reward")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nvidia/Qwen-3-Nemotron-32B-Reward") model = AutoModelForSequenceClassification.from_pretrained("nvidia/Qwen-3-Nemotron-32B-Reward", device_map="auto") - Notebooks
- Google Colab
- Kaggle
please make a quantized version (gguf)
#3 opened about 1 year ago
by
Kosh69
About Model Train.
#2 opened about 1 year ago
by
weiminw