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")# Load model directly from transformers import HasteJevEngine model = HasteJevEngine.from_pretrained("noffy/hastejev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 357 Bytes
2f76959 72fc709 2f76959 72fc709 2f76959 72fc709 2f76959 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"architectures": [
"HasteJevEngine"
],
"model_type": "hastejev",
"preset_name": "20m",
"d_model": 256,
"n_layers": 4,
"n_heads": 4,
"d_ff": 1024,
"table_size": 65536,
"num_frequencies": 32,
"vocab_size": 30522,
"calibrator_temperature": 1.0,
"torch_dtype": "float32",
"quantization": "int4",
"hastejev_version": "1.1.0"
} |