facebook/hubert-large-ls960-ft

Automatic Speech Recognition·facebook· 301.8K· 76

transformers apache-2.0 dataset:libri-lightdataset:librispeech_asrarxiv:2106.07447

The large model fine-tuned on 960h of Librispeech on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz.

Open in MLForge Sign up free Desktop app Source ↗

# pull & run locally
pip install mlforge-sdk && mlforge pull facebook/hubert-large-ls960-ft

Model details

Task

Automatic Speech Recognition

Provider

facebook

Framework

transformers

Size

5.9 GB

License

apache-2.0

Downloads

301.8K

Likes

Paper

arXiv:2106.07447

Updated

2022-05-24

About facebook/hubert-large-ls960-ft

The large model fine-tuned on 960h of Librispeech on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz.

Related Automatic Speech Recognition

S pyannote/speaker-diarization-3.1 Automatic Speech Recognition 8.2M 2.5K 🤗 HF W argmaxinc/whisperkit-coreml Automatic Speech Recognition 8.1M 193 🤗 HF W openai/whisper-large-v3-turbo Automatic Speech Recognition ·808.9M params 7.1M 3.1K 🤗 HF W openai/whisper-base Automatic Speech Recognition ·72.6M params 6.2M 274 🤗 HF W jonatasgrosman/wav2vec2-large-xlsr-53-japanese Automatic Speech Recognition 6.1M 61 🤗 HF W openai/whisper-large-v3 Automatic Speech Recognition ·1.5B params 5.7M 5.9K 🤗 HF