Text Classification
Transformers
Safetensors
English
qwen2
reward-model
preference-modeling
human-feedback
text-embeddings-inference
Instructions to use sunnycloudhust/Qwen2.5-0.5B-Instruct-Reward-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sunnycloudhust/Qwen2.5-0.5B-Instruct-Reward-Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sunnycloudhust/Qwen2.5-0.5B-Instruct-Reward-Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sunnycloudhust/Qwen2.5-0.5B-Instruct-Reward-Model") model = AutoModelForSequenceClassification.from_pretrained("sunnycloudhust/Qwen2.5-0.5B-Instruct-Reward-Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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