Instructions to use mb23/FullySpikingAutoEncoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mb23/FullySpikingAutoEncoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mb23/FullySpikingAutoEncoder", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mb23/FullySpikingAutoEncoder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from mb23/FullySpikingAutoEncoder: direct link, hf CLI and curl.
- Browser
- Download file 109 Bytes
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https://huggingface.co/mb23/FullySpikingAutoEncoder/resolve/main/README.md
- Command line
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hf download hf://mb23/FullySpikingAutoEncoder/README.md
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curl -L -o README.md https://huggingface.co/mb23/FullySpikingAutoEncoder/resolve/main/README.md
109 Bytes