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wav2vec2-aed-librispeech

esc-benchmark / wav2vec2-aed-librispeech

Run on huggingface.co
huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: 0
30-day runs: -1
Model's Last Updated: October 04 2022
automatic-speech-recognition

Introduction of wav2vec2-aed-librispeech

Model Details of wav2vec2-aed-librispeech

To reproduce this run, execute: 

#!/usr/bin/env bash
python run_flax_speech_recognition_seq2seq.py \
        --dataset_name="esc-benchmark/esc-datasets" \
        --model_name_or_path="esc-benchmark/wav2vec2-aed-pretrained" \
        --dataset_config_name="librispeech" \
        --output_dir="./" \
        --wandb_name="wav2vec2-aed-librispeech" \
        --wandb_project="wav2vec2-aed" \
        --per_device_train_batch_size="8" \
        --per_device_eval_batch_size="2" \
        --learning_rate="1e-4" \
        --warmup_steps="500" \
        --logging_steps="25" \
        --max_steps="50001" \
        --eval_steps="10000" \
        --save_steps="10000" \
        --generation_max_length="40" \
        --generation_num_beams="1" \
        --final_generation_max_length="300" \
        --final_generation_num_beams="12" \
        --generation_length_penalty="1.6" \
        --hidden_dropout="0.2" \
        --activation_dropout="0.2" \
        --feat_proj_dropout="0.2" \
        --overwrite_output_dir \
        --gradient_checkpointing \
        --freeze_feature_encoder \
        --predict_with_generate \
        --do_eval \
        --do_train \
        --do_predict \
        --push_to_hub \
        --use_auth_token

Runs of esc-benchmark wav2vec2-aed-librispeech on huggingface.co

7
Total runs
0
24-hour runs
-1
3-day runs
0
7-day runs
-1
30-day runs

More Information About wav2vec2-aed-librispeech huggingface.co Model

wav2vec2-aed-librispeech huggingface.co

wav2vec2-aed-librispeech huggingface.co is an AI model on huggingface.co that provides wav2vec2-aed-librispeech's model effect (), which can be used instantly with this esc-benchmark wav2vec2-aed-librispeech model. huggingface.co supports a free trial of the wav2vec2-aed-librispeech model, and also provides paid use of the wav2vec2-aed-librispeech. Support call wav2vec2-aed-librispeech model through api, including Node.js, Python, http.

wav2vec2-aed-librispeech huggingface.co Url

https://huggingface.co/esc-benchmark/wav2vec2-aed-librispeech

esc-benchmark wav2vec2-aed-librispeech online free

wav2vec2-aed-librispeech huggingface.co is an online trial and call api platform, which integrates wav2vec2-aed-librispeech's modeling effects, including api services, and provides a free online trial of wav2vec2-aed-librispeech, you can try wav2vec2-aed-librispeech online for free by clicking the link below.

esc-benchmark wav2vec2-aed-librispeech online free url in huggingface.co:

https://huggingface.co/esc-benchmark/wav2vec2-aed-librispeech

wav2vec2-aed-librispeech install

wav2vec2-aed-librispeech is an open source model from GitHub that offers a free installation service, and any user can find wav2vec2-aed-librispeech on GitHub to install. At the same time, huggingface.co provides the effect of wav2vec2-aed-librispeech install, users can directly use wav2vec2-aed-librispeech installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

wav2vec2-aed-librispeech install url in huggingface.co:

https://huggingface.co/esc-benchmark/wav2vec2-aed-librispeech

Url of wav2vec2-aed-librispeech

wav2vec2-aed-librispeech huggingface.co Url

Provider of wav2vec2-aed-librispeech huggingface.co

esc-benchmark
ORGANIZATIONS
huggingface.co

Other API from esc-benchmark