How to use RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified") model = AutoModelForSequenceClassification.from_pretrained("RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified", device_map="auto")
https://huggingface.co/RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified/resolve/main/vocab.json
hf download hf://RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified/vocab.json
curl -L -o vocab.json https://huggingface.co/RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified/resolve/main/vocab.json
