Text Classification
Transformers
Safetensors
English
qwen2
feature-extraction
Modeling World Preference
WorldPM
reward model
preference model
preference model pretraining
PMP
custom_code
text-embeddings-inference
Instructions to use KnutJaegersberg/WorldPM-72B-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KnutJaegersberg/WorldPM-72B-4bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KnutJaegersberg/WorldPM-72B-4bit", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("KnutJaegersberg/WorldPM-72B-4bit", trust_remote_code=True) model = AutoModel.from_pretrained("KnutJaegersberg/WorldPM-72B-4bit", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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