Feature Extraction
Transformers
PyTorch
Safetensors
English
hastejev
jev
decision-engine
system-1
agent-routing
tool-routing
non-generative
pica
quantized
Instructions to use noffy/hastejev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use noffy/hastejev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="noffy/hastejev")# pip install -U transformers accelerate # Load model directly from transformers import HasteJevEngine model = HasteJevEngine.from_pretrained("noffy/hastejev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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fix: re-export 20m weights; true int8/int4 keys; honest model card
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docs: update Model Card with full sister models family and quantization guide
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docs: add Hugging Face YAML metadata with jev, hastejev, system-1, and agent tags
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feat: update Haste Jev weights, SimHash subword projection, and browser control benchmarks
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feat: release Haste Jev weights (safetensors, bin), config.json, and model package
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initial commit
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