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wav2vec-3a75bd69b2c5
Diogo-V/wav2vec-3a75bd69b2c5
wav2vec-3a75bd69b2c5 is a machine learning model from Diogo-V. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
{'backend': 'inductor', 'bits': [8, 7, 6, 5, 4], 'compile': False, 'datasets': ['wikitext', 'imagenet', 'librispeech', 'diffusion'], 'debug': False, 'device': device(type='cuda', index=0), 'doglobaltraining': False, '…
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Updated Jul 23, 2024
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At a glance
- License
- mit
- Access
- Public
- Created
- Jul 22, 2024
- Updated
- Jul 23, 2024
- SHA
- eb10f3dd
Model card
From the Hugging Face model README
Test Configurations
{'backend': 'inductor', 'bits': [8, 7, 6, 5, 4], 'compile': False, 'datasets': ['wikitext', 'imagenet', 'librispeech', 'diffusion'], 'debug': False, 'device': device(type='cuda', index=0), 'do_global_training': False, 'folders_range': [0, 70], 'func_benchmark_timeout_s': 3600, 'hub_username': 'Diogo-V', 'instrument_mode': 'model_wise', 'layer_quant_workers': 4, 'learned_func_folder': PosixPath('fn_gen/bin'), 'models': ['wav2vec'], 'n_dataset_records': 1000, 'n_repetitions': 1, 'param_init_methods': ['ones_noisy_scale', 'rnd_noisy_scale'], 'path': PosixPath('/workspace/master-thesis/logs/173dafae-f72e-4a31-bfef-3a75bd69b2c5'), 'percent_cores_used': 0.1, 'push_params_to_hub': True, 'random_seed': 42, 'run_id': '173dafae-f72e-4a31-bfef-3a75bd69b2c5', 'use_baselines': True, 'use_learned': True, 'warmup': 2}
- License
- mit
- Languages
- en
- Created
- Jul 22, 2024
- Updated
- Jul 23, 2024