Mathur08/autotrain-mfnfj-9bczx

Model Trained Using AutoTrain

• Problem type: Automatic Speech Recognition

Validation Metrics

No validation metrics available

Training Configuration

• Base Model: base_model: openai/whisper-base
• Training Data: autotrain-mfnfj-9bczx\autotrain-data
• Validation Data: None
• Epochs: 3
• Batch Size: 8
• Learning Rate: 3e-05
• Optimizer: adamw_torch
• Scheduler: linear
• Mixed Precision: no

Usage

from transformers import AutoModelForCTC, Wav2Vec2Processor
import torch
import librosa

# Load model and processor
model = AutoModelForCTC.from_pretrained("Mathur08/autotrain-mfnfj-9bczx")
processor = Wav2Vec2Processor.from_pretrained("Mathur08/autotrain-mfnfj-9bczx")

audio, sr = librosa.load("path_to_audio.wav", sr=16000)
inputs = processor(audio, sampling_rate=16000, return_tensors="pt", padding=True)

with torch.no_grad():
    logits = model(inputs.input_values).logits
    predicted_ids = torch.argmax(logits, dim=-1)
    transcription = processor.batch_decode(predicted_ids)