| { | |
| "mic": "0.3", | |
| "name": "Wav2Vec2 CTC speech recognition", | |
| "usage": "Wav2Vec2Processor + Wav2Vec2ForCTC, greedy CTC decoding, batched", | |
| "architecture": "Wav2Vec2ForCTC", | |
| "checkpoints": { | |
| "facebook/wav2vec2-base-960h": { | |
| "fixture": "hf-internal-testing/mic-wav2vec2-base-960h-slim" | |
| } | |
| }, | |
| "fixtures": { | |
| "hf-internal-testing/mic-wav2vec2-base-960h-slim": { | |
| "built_from": "facebook/wav2vec2-base-960h", | |
| "covers": [ | |
| "facebook/wav2vec2-base-960h" | |
| ], | |
| "build": { | |
| "seed": 17, | |
| "accept_insensitive": { | |
| "input_values:halve": "Wav2Vec2-base's bias-free first convolution feeds a group norm, so at fixture size the output ignores input amplitude (5e-5, random or overfit); the real checkpoint moves by 3.9. Amplitude regressions need the real-checkpoint run." | |
| } | |
| } | |
| } | |
| }, | |
| "integrations": { | |
| "transformers": { | |
| "entry_point": "integrations/transformers/usage.md", | |
| "format": "runnable-markdown", | |
| "requires": [ | |
| "transformers>=5", | |
| "torch" | |
| ], | |
| "targets": [ | |
| "fixtures", | |
| "checkpoints" | |
| ], | |
| "variants": { | |
| "default": {}, | |
| "eager": { | |
| "attn_implementation": "eager" | |
| }, | |
| "bfloat16": { | |
| "dtype": "bfloat16" | |
| } | |
| }, | |
| "training": true, | |
| "resources": { | |
| "fixture": { | |
| "memory_gb": 1, | |
| "download_mb": 20 | |
| }, | |
| "facebook/wav2vec2-base-960h": { | |
| "memory_gb": 2, | |
| "download_mb": 378 | |
| } | |
| } | |
| } | |
| }, | |
| "outputs": { | |
| "runtime": { | |
| "compare": "exact" | |
| }, | |
| "predicted_ids": { | |
| "compare": "exact" | |
| }, | |
| "predicted_text": { | |
| "compare": "exact" | |
| }, | |
| "logits": { | |
| "compare": "allclose", | |
| "atol": 0.0001, | |
| "rtol": 0.0001 | |
| }, | |
| "feature_extractor_config_keys": { | |
| "compare": "exact" | |
| }, | |
| "training.loss": { | |
| "compare": "allclose", | |
| "atol": 0.0001, | |
| "rtol": 0.0001 | |
| }, | |
| "training.gradients": { | |
| "compare": "all_true" | |
| }, | |
| "training.updated": { | |
| "compare": "true" | |
| } | |
| } | |
| } | |