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
- Xet hash:
- 3063ba79d6ec07ea263d083715823bd4fc5fb6094e060af76568a8d943f3ae84
- Size of remote file:
- 72.5 MB
- SHA256:
- 8960ab0aa278e096b3c921dcdd0adc3953424a2890d1ad007abb9145437fd065
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