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-5m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use noffy/hastejev-5m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="noffy/hastejev-5m")# pip install -U transformers accelerate # Load model directly from transformers import HasteJevEngine model = HasteJevEngine.from_pretrained("noffy/hastejev-5m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from noffy/hastejev-5m: direct link, hf CLI and curl.
- Browser
- Download file 11.5 MB
-
https://huggingface.co/noffy/hastejev-5m/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://noffy/hastejev-5m/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/noffy/hastejev-5m/resolve/main/pytorch_model.bin
11.5 MB
- Xet hash:
- dc5bc7a045018a83ff9820243e9ddd0fa09634db505e69fe153a53ea05a939d4
- Size of remote file:
- 11.5 MB
- SHA256:
- 4d70b77d4f7a24937815c17743eafdc54e493c9988750ca701b3ebb8b1603901
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.