HomeModelsAutomatic Speech Recognitionkingabzpro/wav2vec2-large-xlsr-53-punjabi
W

kingabzpro/wav2vec2-large-xlsr-53-punjabi

Automatic Speech Recognition·kingabzpro· 686.6K· 4
transformers apache-2.0 94.4M params dataset:mozilla-foundation/common_voice_8_0base_model:Harveenchadha/vakyansh-wav2vec2-punjabi-pam-10base_model:finetune:Harveenchadha/vakyansh-wav2vec2-punjabi-pam-10

This model is a fine-tuned version of Harveenchadha/vakyansh-wav2vec2-punjabi-pam-10 on the commonvoice dataset. It achieves the following results on the evaluation set: - Loss: 1.2101 - Wer: 0.4939 - Cer: 0.2238

Open in MLForge Sign up free Desktop app Source ↗
# pull & run locally
pip install mlforge-sdk && mlforge pull kingabzpro/wav2vec2-large-xlsr-53-punjabi

Model details

Task
Automatic Speech Recognition
Provider
kingabzpro
Framework
transformers
Parameters
94.4M
Size
16 GB
License
apache-2.0
Downloads
686.6K
Likes
4
Updated
2023-10-11

About kingabzpro/wav2vec2-large-xlsr-53-punjabi

This model is a fine-tuned version of Harveenchadha/vakyansh-wav2vec2-punjabi-pam-10 on the commonvoice dataset. It achieves the following results on the evaluation set: - Loss: 1.2101 - Wer: 0.4939 - Cer: 0.2238

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