Feature Extraction
Transformers
Safetensors
hetero_moe_projspace
mixture-of-experts
heterogeneous
dimension-projection-space
ffn-fusion
custom_code
Instructions to use redmingwei/HeteroMoEProjSpace-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use redmingwei/HeteroMoEProjSpace-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="redmingwei/HeteroMoEProjSpace-v2", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("redmingwei/HeteroMoEProjSpace-v2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download example_inputs.npz from redmingwei/HeteroMoEProjSpace-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.21 MB
-
https://huggingface.co/redmingwei/HeteroMoEProjSpace-v2/resolve/main/example_inputs.npz
- Command line
-
hf download hf://redmingwei/HeteroMoEProjSpace-v2/example_inputs.npz
-
curl -L -o example_inputs.npz https://huggingface.co/redmingwei/HeteroMoEProjSpace-v2/resolve/main/example_inputs.npz
1.21 MB
- Xet hash:
- f24bf995396a9fecb7c1870a9a7ad1431557dbaa7fdf76f36e83f9759762e9d0
- Size of remote file:
- 1.21 MB
- SHA256:
- 91d7f6bf753ce83c8793c26a6e1225b710a1ec14b3beb0214eb821e4a6a84b6e
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