Instructions to use FluidInference/laya-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use FluidInference/laya-coreml 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
Download reports/verification-multilingual-L128.json from FluidInference/laya-coreml: direct link, hf CLI and curl.
- Browser
- Download file 18.3 kB
-
https://huggingface.co/FluidInference/laya-coreml/resolve/de76e2e0eb03d7cbcd76e1324ab80198245120e0/reports/verification-multilingual-L128.json
- Command line
-
hf download hf://FluidInference/laya-coreml@de76e2e0eb03d7cbcd76e1324ab80198245120e0/reports/verification-multilingual-L128.json
-
curl -L -o verification-multilingual-L128.json https://huggingface.co/FluidInference/laya-coreml/resolve/de76e2e0eb03d7cbcd76e1324ab80198245120e0/reports/verification-multilingual-L128.json
18.3 kB
| { | |
| "package": "laya_multilingual_fp16_L128_options32.mlpackage", | |
| "package_files_sha256": { | |
| "Data/com.apple.CoreML/model.mlmodel": "a536e177f174cc14a0dbe539357db29016a10ad579cdbf040b98525f32e7a4a7", | |
| "Data/com.apple.CoreML/weights/weight.bin": "506eb53e74aaebcdfb3f55304fbdd0b9c1678026efaef60454a1c66557f35d90", | |
| "Manifest.json": "9957a84277c0a722bcdbbc69ae3ce065122d9dd14de85ee9c76a2e44b2cb7146" | |
| }, | |
| "source_repo": "convaiinnovations/laya", | |
| "source_revision": "1c5edc17a7acd8701df6fc341c0d179f1c62c982", | |
| "variant": "multilingual", | |
| "length": 128, | |
| "max_options": 32, | |
| "environment": { | |
| "chip": "Apple M5 Pro", | |
| "os": "27.0", | |
| "python": "3.12.13", | |
| "torch": "2.7.0", | |
| "coremltools": "9.0" | |
| }, | |
| "gates": { | |
| "argmax_agreement": "100%", | |
| "max_probability_error": 0.02, | |
| "max_action_probability_error": 0.02, | |
| "finite": true, | |
| "padding_masked": true | |
| }, | |
| "cases_sha256": "4de4e34309c421913524209b62bb7c8a0a232928bd228ec12e884347ce65eeed", | |
| "runs": { | |
| "ALL": { | |
| "compute_units": "ALL", | |
| "load_seconds": 1.9205929159652442, | |
| "questions": 16, | |
| "argmax_agreements": 16, | |
| "max_probability_error": 0.0021350979804992676, | |
| "max_action_probability_error": 0.0, | |
| "latency_ms": { | |
| "p50": 3.874978981912136, | |
| "p95": 4.150477421353571, | |
| "min": 3.734458005055785, | |
| "max": 6.0334589798003435 | |
| }, | |
| "skipped": [], | |
| "rows": [ | |
| { | |
| "case": "tetris_clean", | |
| "question": "clean", | |
| "type": "noul", | |
| "tokens": 80, | |
| "options": 2, | |
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| "coreml_argmax": 0, | |
| "reference_argmax": 0, | |
| "max_probability_error": 0.0001417025923728943, | |
| "max_action_probability_error": 0.0, | |
| "finite": true, | |
| "padding_masked": true, | |
| "probability_sum": 1.00006103515625, | |
| "median_ms": 3.948333003791049 | |
| }, | |
| { | |
| "case": "tetris_flat", | |
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| "options": 2, | |
| "argmax_agrees": true, | |
| "coreml_argmax": 1, | |
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| "probability_sum": 0.9998626708984375, | |
| "median_ms": 3.872645494993776 | |
| }, | |
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| "median_ms": 4.006020986707881 | |
| }, | |
| { | |
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| "probability_sum": 1.0, | |
| "median_ms": 3.9132919919211417 | |
| }, | |
| { | |
| "case": "form_field", | |
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| "options": 3, | |
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| "coreml_argmax": 0, | |
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| "max_probability_error": 0.0021350979804992676, | |
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| "median_ms": 3.8335000281222165 | |
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| { | |
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| { | |
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| "options": 3, | |
| "argmax_agrees": true, | |
| "coreml_argmax": 1, | |
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| "max_probability_error": 0.0008405148983001709, | |
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| { | |
| "case": "support_triage", | |
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| "options": 2, | |
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| "coreml_argmax": 0, | |
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| "max_probability_error": 3.820657730102539e-05, | |
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| { | |
| "case": "zh", | |
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| "coreml_argmax": 0, | |
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| "max_probability_error": 0.00023287534713745117, | |
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| "median_ms": 3.8122705300338566 | |
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| { | |
| "case": "zh", | |
| "question": "urgent", | |
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| "options": 2, | |
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| "coreml_argmax": 1, | |
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| { | |
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| "options": 3, | |
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| "coreml_argmax": 0, | |
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| { | |
| "case": "de", | |
| "question": "intent", | |
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| "coreml_argmax": 0, | |
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| "max_probability_error": 7.051229476928711e-05, | |
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| { | |
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| { | |
| "case": "long_state", | |
| "question": "ready", | |
| "type": "noul", | |
| "tokens": 128, | |
| "options": 2, | |
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| "coreml_argmax": 1, | |
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| "max_probability_error": 0.0001234356313943863, | |
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| { | |
| "case": "long_state", | |
| "question": "owner", | |
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| "median_ms": 3.830937494058162 | |
| } | |
| ], | |
| "passed": true | |
| }, | |
| "CPU_AND_NE": { | |
| "compute_units": "CPU_AND_NE", | |
| "load_seconds": 3.0328945000073873, | |
| "questions": 16, | |
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| { | |
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| { | |
| "case": "tetris_lane", | |
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| { | |
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| { | |
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| { | |
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| { | |
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| { | |
| "case": "many_options", | |
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| { | |
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| { | |
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| "finite": true, | |
| "padding_masked": true, | |
| "probability_sum": 1.0003395080566406, | |
| "median_ms": 3.628145990660414 | |
| } | |
| ], | |
| "passed": true | |
| } | |
| }, | |
| "passed": true | |
| } | |