Feature Extraction
Transformers
Safetensors
zeno-divergent-multi
surprise
regime-change
model-monitoring
calibrated-uncertainty
abstention
time-series
multi-domain
Instructions to use mbarbosa1/zeno-divergent-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbarbosa1/zeno-divergent-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mbarbosa1/zeno-divergent-v1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mbarbosa1/zeno-divergent-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add inference.json: published transform chain (normalisation, degenerate mask, calibration, abstention) for v0.7.0
Browse files- inference.json +0 -0
inference.json
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