How to use openbmb/Eurus-RM-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="openbmb/Eurus-RM-7b", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("openbmb/Eurus-RM-7b", trust_remote_code=True) model = AutoModel.from_pretrained("openbmb/Eurus-RM-7b", trust_remote_code=True, device_map="auto")
https://huggingface.co/openbmb/Eurus-RM-7b/resolve/94059186e6ab8988905144023a8762f8e9aaf51c/generation_config.json
hf download hf://openbmb/Eurus-RM-7b@94059186e6ab8988905144023a8762f8e9aaf51c/generation_config.json
curl -L -o generation_config.json https://huggingface.co/openbmb/Eurus-RM-7b/resolve/94059186e6ab8988905144023a8762f8e9aaf51c/generation_config.json
