Text Classification
Transformers
Safetensors
English
comparer
feature-extraction
reward-modeling
preference-modeling
llm
chatbot-arena
deberta-v3
human-feedback
rlhf
custom_code
Eval Results (legacy)
Instructions to use Himanshu167/AI-Response-Comparer-v1.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Himanshu167/AI-Response-Comparer-v1.6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Himanshu167/AI-Response-Comparer-v1.6", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Himanshu167/AI-Response-Comparer-v1.6", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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