How to use codefuse-ai/CodeFuse-CodeGeeX2-6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="codefuse-ai/CodeFuse-CodeGeeX2-6B", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codefuse-ai/CodeFuse-CodeGeeX2-6B", trust_remote_code=True, device_map="auto")
https://huggingface.co/codefuse-ai/CodeFuse-CodeGeeX2-6B/resolve/ba1b7edc29eec13d6de6044bc7ffa483407eba39/README.md
hf download hf://codefuse-ai/CodeFuse-CodeGeeX2-6B@ba1b7edc29eec13d6de6044bc7ffa483407eba39/README.md
curl -L -o README.md https://huggingface.co/codefuse-ai/CodeFuse-CodeGeeX2-6B/resolve/ba1b7edc29eec13d6de6044bc7ffa483407eba39/README.md
license: other license_name: license.md license_link: LICENSE
