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wav2vec2-xls-r-300m-36-tokens-with-lm-es

Automatic Speech Recognition

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robust-speech-event

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wav2vec2-xls-r-300m-36-tokens-with-lm-es

3 contributors

History: 15 commits

Eduardo Gonzalez Ponferrada

Update eval metrics

bd624ea over 2 years ago

language_model
Add new LM over 2 years ago
.gitattributes

1.18 kB

initial commit over 2 years ago
README.md

119 Bytes

Update README.md over 2 years ago
added_tokens.json

23 Bytes

Add wav2vec model with LM over 2 years ago
alphabet.json

263 Bytes

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common_voice_es_test_eval_results.txt

49 Bytes

Update eval metrics over 2 years ago
config.json

2.07 kB

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eval.py

6.17 kB

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log_common_voice_es_test_predictions.txt

997 kB

Update eval metrics over 2 years ago
log_common_voice_es_test_targets.txt

1 MB

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preprocessor_config.json

262 Bytes

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pytorch_model.bin

1.26 GB
LFS

Update weights over 2 years ago
special_tokens_map.json

502 Bytes

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tokenizer_config.json

342 Bytes

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training_args.bin
Detected Pickle imports (6)
- "transformers.training_args.OptimizerNames",
- "torch.device",
- "transformers.trainer_utils.SchedulerType",
- "transformers.trainer_utils.HubStrategy",
- "transformers.trainer_utils.IntervalStrategy",
- "transformers.training_args.TrainingArguments"
How to fix it?
3.06 kB
LFS

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vocab.json

329 Bytes

Add wav2vec model with LM over 2 years ago