Instructions to use handshake-ai-research/cue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use handshake-ai-research/cue with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="handshake-ai-research/cue", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("handshake-ai-research/cue", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sampler.pt from handshake-ai-research/cue: direct link, hf CLI and curl.
- Browser
- Download file 647 MB
-
https://huggingface.co/handshake-ai-research/cue/resolve/main/sampler.pt
- Command line
-
hf download hf://handshake-ai-research/cue/sampler.pt
-
curl -L -o sampler.pt https://huggingface.co/handshake-ai-research/cue/resolve/main/sampler.pt
647 MB
- Xet hash:
- 3249e20c7b26a4970d798c48d4f4812ffb411708c0f9de0e90a8861af27ccc27
- Size of remote file:
- 647 MB
- SHA256:
- d3dcbb0bfb310d8b8986ea69101c175d8e8ccbc641489459f41d776957d6c910
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