How to use OpenAssistant/reward-model-deberta-v3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OpenAssistant/reward-model-deberta-v3-base")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OpenAssistant/reward-model-deberta-v3-base") model = AutoModelForSequenceClassification.from_pretrained("OpenAssistant/reward-model-deberta-v3-base", device_map="auto")
https://huggingface.co/OpenAssistant/reward-model-deberta-v3-base/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://OpenAssistant/reward-model-deberta-v3-base@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/OpenAssistant/reward-model-deberta-v3-base/resolve/refs%2Fpr%2F1/tokenizer.json
