Instructions to use litert-community/Inflect-Nano-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/Inflect-Nano-v2 with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit History
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Card: base_model_relation: quantized (list under the base model's Quantizations)
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Add measured Galaxy S26 NPU/GPU section
Verified signatureNumbers from the S26 classic sweep. Primary logs: litertlm-convert/community_accel_work/s2_npu_sweep/results.jsonl (on-device JIT) and portal_work/bench_all.txt + bench_redo.txt (the 2026-08-23 AOT sweep); every row states which of the two produced it. Rows carry device, SoC, runtime, N and thermal state, and join to this repo by exact .tflite file name. Rows taken outside the sweep's thermal window are not reported.37c92b1
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Inflect-Nano-v2 LiteRT: dynamic-length fp32/fp16 graphs, exact streaming, Pi 5 bench, say.py
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initial commit
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