legacy-datasets/common_voice
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How to use masapasa/wav2vec2-large-xls-r-300m-turkish-colab with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="masapasa/wav2vec2-large-xls-r-300m-turkish-colab") # Load model directly
from transformers import AutoProcessor, AutoModelForCTC
processor = AutoProcessor.from_pretrained("masapasa/wav2vec2-large-xls-r-300m-turkish-colab")
model = AutoModelForCTC.from_pretrained("masapasa/wav2vec2-large-xls-r-300m-turkish-colab")This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset.
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The following hyperparameters were used during training: