Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Northern Kurdish
Kurdish
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
robust-speech-event
model_for_talk
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use Akashpb13/xlsr_kurmanji_kurdish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akashpb13/xlsr_kurmanji_kurdish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Akashpb13/xlsr_kurmanji_kurdish")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Akashpb13/xlsr_kurmanji_kurdish") model = AutoModelForCTC.from_pretrained("Akashpb13/xlsr_kurmanji_kurdish") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aed5549d74b39d60f89906169df57bcaa1a6d938bb1818b403d039db5f58cc0b
- Size of remote file:
- 1.26 GB
- SHA256:
- db0a9b9adafe6c7b3e19e58971370a746b8170b4978bd4c09bd4faf3277ad7cd
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