Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Central 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/Central_kurdish_xlsr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akashpb13/Central_kurdish_xlsr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Akashpb13/Central_kurdish_xlsr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Akashpb13/Central_kurdish_xlsr") model = AutoModelForCTC.from_pretrained("Akashpb13/Central_kurdish_xlsr") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#4 opened over 2 years ago
by
librarian-bot
i need help
#2 opened over 3 years ago
by
william1
Another model
#1 opened almost 4 years ago
by
Sarchia