How to use Elvis-t9/CGE-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Elvis-t9/CGE-test", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Elvis-t9/CGE-test", trust_remote_code=True, device_map="auto")
https://huggingface.co/Elvis-t9/CGE-test/resolve/refs%2Fpr%2F1/README.md
hf download hf://Elvis-t9/CGE-test@refs/pr/1/README.md
curl -L -o README.md https://huggingface.co/Elvis-t9/CGE-test/resolve/refs%2Fpr%2F1/README.md
language: - en - zh license: apache-2.0 pipeline_tag: feature-extraction library_name: transformers
