mozilla-foundation/common_voice_13_0
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How to use EYEDOL/FROM_C3_NEW1 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="EYEDOL/FROM_C3_NEW1") # Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM
processor = AutoProcessor.from_pretrained("EYEDOL/FROM_C3_NEW1")
model = AutoModelForMultimodalLM.from_pretrained("EYEDOL/FROM_C3_NEW1")This model is a fine-tuned version of EYEDOL/SALAMA_C3 on the Common Voice 13.0 dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1562 | 0.6918 | 2000 | 0.1985 | 15.1624 |