Transformers
Safetensors
nano_deep_reasoner_hypermini
causal-lm
decoder-only
reasoning
deep-reasoning
recurrent-transformer
adaptive-computation
chain-of-thought
adaptive-reasoning
Instructions to use 11-47/Nano.Deep.Reasoner.11m-HyperMini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 11-47/Nano.Deep.Reasoner.11m-HyperMini with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import HyperMiniReasoner model = HyperMiniReasoner.from_pretrained("11-47/Nano.Deep.Reasoner.11m-HyperMini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download example_ledger.json from 11-47/Nano.Deep.Reasoner.11m-HyperMini: direct link, hf CLI and curl.
- Browser
- Download file 47.5 MB
-
https://huggingface.co/11-47/Nano.Deep.Reasoner.11m-HyperMini/resolve/main/example_ledger.json
- Command line
-
hf download hf://11-47/Nano.Deep.Reasoner.11m-HyperMini/example_ledger.json
-
curl -L -o example_ledger.json https://huggingface.co/11-47/Nano.Deep.Reasoner.11m-HyperMini/resolve/main/example_ledger.json
47.5 MB
- Xet hash:
- 7eefc9c0b8d0cf4da203515456cb21cef0bffa9d3b369feae328d2f5d54dbb44
- Size of remote file:
- 47.5 MB
- SHA256:
- 95eb4821896973810ea985246c22b2cfdf4edcea6eaf6cc52152550acadfe28c
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