LiteRT
LiteRT
Polish
English
llama
android
on-device
npu
qualcomm
typed-decisions
classification
calibration
polish
Instructions to use SearchingMan/basal-2.0-mini-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use SearchingMan/basal-2.0-mini-LiteRT 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
Download basal.json from SearchingMan/basal-2.0-mini-LiteRT: direct link, hf CLI and curl.
- Browser
- Download file 373 Bytes
-
https://huggingface.co/SearchingMan/basal-2.0-mini-LiteRT/resolve/main/basal.json
- Command line
-
hf download hf://SearchingMan/basal-2.0-mini-LiteRT/basal.json
-
curl -L -o basal.json https://huggingface.co/SearchingMan/basal-2.0-mini-LiteRT/resolve/main/basal.json
373 Bytes
| { | |
| "name": "basal-2.0-mini", | |
| "prompt": 2, | |
| "readout": { | |
| "kind": "code logits", | |
| "codes": 255, | |
| "prefill": "{\"answer\": \"", | |
| "templates": "prompt format 2 (docs/FORMAT2.md of the basal engine)" | |
| }, | |
| "calibration": "CALIBRATION.json (per-type and per-bucket temperatures, certified thresholds)", | |
| "test_metrics": { | |
| "acc": 0.8232476635514019, | |
| "n_items": 8560 | |
| } | |
| } | |