whisper-large-v3-swiss-german-spc

7
1
—
by
PhilippeFuhrioso
Audio Model
OTHER
3B params
New
7 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
7GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
3GB+ RAM

Code Examples

Training Detailspythontransformers
from transformers import WhisperForConditionalGeneration, WhisperProcessor
import torch

# Load model and processor
model = WhisperForConditionalGeneration.from_pretrained("PhilippeFuhrioso/whisper-large-v3-swiss-german-spc")
processor = WhisperProcessor.from_pretrained("PhilippeFuhrioso/whisper-large-v3-swiss-german-spc")

# Load your audio file (16kHz, mono)
# audio = ...  # numpy array with shape (samples,)

# Prepare inputs
inputs = processor(audio, sampling_rate=16000, return_tensors="pt")

# Generate transcription
with torch.no_grad():
    predicted_ids = model.generate(inputs.input_features)
    
transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)[0]
print(transcription)

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