Instructions to use NeuroTechX/zuna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeuroTechX/zuna with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="NeuroTechX/zuna", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NeuroTechX/zuna", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Card: remove unpublished-paper reference
Browse files
README.md
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`trust_remote_code` build** prepared by **NeuroTechX** so the model loads anywhere with
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only `torch` + `transformers` + a few public pip deps — no private packages required.
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Part of the [NeuroTechX EEG-FM Collection](https://huggingface.co/collections/NeuroTechX/eeg-foundation-models-6a443a79e9a158d702f2e8e1)
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and the 2026 NeuroTechX DL/FM-on-EEG white paper (the successor to Roy et al. 2019).
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## Install
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```bash
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`trust_remote_code` build** prepared by **NeuroTechX** so the model loads anywhere with
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only `torch` + `transformers` + a few public pip deps — no private packages required.
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Part of the [NeuroTechX EEG-FM Collection](https://huggingface.co/collections/NeuroTechX/eeg-foundation-models-6a443a79e9a158d702f2e8e1).
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## Install
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```bash
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