Instructions to use leehack/laya-command-head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use leehack/laya-command-head with Laya:
# 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
Update results for the renamed held-out command
Browse files
README.md
CHANGED
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@@ -36,11 +36,12 @@ Top intent correct on the example's 48 development commands, which chose the che
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| Head | Development | Held-out |
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| --- | --- | --- |
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| Laya base head, llamadart with `laya-Q8_0.gguf` on Metal | 28 | 18 |
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| This head, PyTorch F32 encoder | 46 | 27 |
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| This head, llamadart with `laya-Q8_0.gguf` on Metal | 46 |
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In the example's `bin/bench.dart` with its 0.3 confidence gate, the bar shows the right intent for
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## Limitations
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| Head | Development | Held-out |
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| --- | --- | --- |
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| Laya base head, PyTorch F32 encoder | 29 | 18 |
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| Laya base head, llamadart with `laya-Q8_0.gguf` on Metal | 28 | 18 |
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| This head, PyTorch F32 encoder | 46 | 27 |
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| This head, llamadart with `laya-Q8_0.gguf` on Metal | 46 | 27 |
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In the example's `bin/bench.dart` with its 0.3 confidence gate, the bar shows the right intent for 26 held-out commands, the wrong one for 4, and stays plain for 2. The notebook's other seeds kept heads with up to four fewer held-out commands right in PyTorch, so a single run is noisy at this size.
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## Limitations
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