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