Instructions to use esc-bench/wav2vec2-aed-common_voice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use esc-bench/wav2vec2-aed-common_voice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="esc-bench/wav2vec2-aed-common_voice")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("esc-bench/wav2vec2-aed-common_voice") model = AutoModelForSpeechSeq2Seq.from_pretrained("esc-bench/wav2vec2-aed-common_voice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Sanchit Gandhi commited on
Commit ·
b4d031f
1
Parent(s): 7a2ca30
Correct scripts
Browse files- README.md +2 -2
- run_common_voice.sh +2 -2
README.md
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```python
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#!/usr/bin/env bash
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python run_flax_speech_recognition_seq2seq.py \
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--dataset_name="esc/esc-datasets" \
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--model_name_or_path="esc/wav2vec2-aed-pretrained" \
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--dataset_config_name="ami" \
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--output_dir="./" \
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--wandb_name="wav2vec2-aed-common-voice" \
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```python
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#!/usr/bin/env bash
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python run_flax_speech_recognition_seq2seq.py \
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--dataset_name="esc-benchmark/esc-datasets" \
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--model_name_or_path="esc-benchmark/wav2vec2-aed-pretrained" \
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--dataset_config_name="ami" \
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--output_dir="./" \
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--wandb_name="wav2vec2-aed-common-voice" \
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run_common_voice.sh
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#!/usr/bin/env bash
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python run_flax_speech_recognition_seq2seq.py \
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--dataset_name="esc/esc-datasets" \
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--model_name_or_path="esc/wav2vec2-aed-pretrained" \
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--dataset_config_name="ami" \
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--output_dir="./" \
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--wandb_name="wav2vec2-aed-common-voice" \
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#!/usr/bin/env bash
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python run_flax_speech_recognition_seq2seq.py \
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--dataset_name="esc-benchmark/esc-datasets" \
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--model_name_or_path="esc-benchmark/wav2vec2-aed-pretrained" \
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--dataset_config_name="ami" \
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--output_dir="./" \
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--wandb_name="wav2vec2-aed-common-voice" \
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