Instructions to use ModelsLab/midashenglm-gen-wer-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ModelsLab/midashenglm-gen-wer-lora with PEFT:
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- Notebooks
- Google Colab
- Kaggle
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| { | |
| "id": "mixed-campfire-story", | |
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| "hypothesis": "Nobody ever found out where the light on the ridge came from.", | |
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| { | |
| "id": "mixed-campfire-story", | |
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| "hypothesis": "Nobody ever found out where the light on the ridge came from.", | |
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| "ci": [ | |
| { | |
| "arm": "speech", | |
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| "delta": -0.053517817059483726, | |
| "ci_low": -0.10481376262626263, | |
| "ci_high": -0.01791175645342312, | |
| "verdict": "REAL" | |
| }, | |
| { | |
| "arm": "mixed", | |
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| "delta": -0.0005181623931623923, | |
| "ci_low": -0.03531861888111889, | |
| "ci_high": 0.03576611062548562, | |
| "verdict": "noise" | |
| }, | |
| { | |
| "arm": "sfx", | |
| "metric": "clap_text", | |
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| "delta": -0.02261536121368408, | |
| "ci_low": -0.05276156602893025, | |
| "ci_high": 0.005590569962126503, | |
| "fraction_of_range": -0.07771601791644014, | |
| "verdict": "noise" | |
| }, | |
| { | |
| "arm": "music", | |
| "metric": "clap_text", | |
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| "delta": -0.006254644691944122, | |
| "ci_low": -0.019433325783660017, | |
| "ci_high": 0.006250474875171978, | |
| "fraction_of_range": -0.05126757944216494, | |
| "verdict": "noise" | |
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| { | |
| "arm": "ambience", | |
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| "ci_high": -0.017349048135802164, | |
| "fraction_of_range": -8.631777350408163, | |
| "verdict": "n/a \u2014 range 0.0043, not a criterion" | |
| }, | |
| { | |
| "arm": "mixed", | |
| "metric": "clap_text", | |
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| "ci_low": -0.016562354167302448, | |
| "ci_high": 0.0243761576587955, | |
| "fraction_of_range": 0.013702183387205488, | |
| "verdict": "noise" | |
| }, | |
| { | |
| "arm": "speech", | |
| "metric": "seconds", | |
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| "delta": -0.2611111111111112, | |
| "ci_low": -0.622222222222222, | |
| "ci_high": 0.06111111111111104, | |
| "verdict": "noise" | |
| }, | |
| { | |
| "arm": "sfx", | |
| "metric": "seconds", | |
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| "delta": -1.15, | |
| "ci_low": -1.8033333333333335, | |
| "ci_high": -0.49991666666666784, | |
| "verdict": "REAL" | |
| }, | |
| { | |
| "arm": "music", | |
| "metric": "seconds", | |
| "n": 60, | |
| "delta": -0.23333333333333328, | |
| "ci_low": -0.5966666666666666, | |
| "ci_high": 0.15333333333333343, | |
| "verdict": "noise" | |
| }, | |
| { | |
| "arm": "ambience", | |
| "metric": "seconds", | |
| "n": 60, | |
| "delta": -0.14000000000000004, | |
| "ci_low": -0.9066666666666666, | |
| "ci_high": 0.6133333333333333, | |
| "verdict": "noise" | |
| }, | |
| { | |
| "arm": "mixed", | |
| "metric": "seconds", | |
| "n": 60, | |
| "delta": -0.5, | |
| "ci_low": -1.0699999999999998, | |
| "ci_high": 0.006666666666666643, | |
| "verdict": "noise" | |
| } | |
| ] | |
| } |