Token AI
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ListenX

Large

High-Performance Speech Recognition

Speech-to-Text
Hugging FaceDownload

What ListenX Large Does

ListenX Large is our flagship speech recognition model, delivering state-of-the-art accuracy for professional and enterprise applications. With enhanced capacity and advanced training techniques, it achieves near-human-level transcription accuracy across diverse acoustic conditions.

This model is optimized for scenarios where accuracy is paramount, such as medical transcription, legal documentation, and high-stakes business communications.

Key Features

  • Exceptional Accuracy – 98%+ word accuracy in optimal conditions
  • Advanced Noise Handling – Superior performance in challenging audio environments
  • Extensive Language Support – 30+ languages with dialect recognition
  • Domain Adaptation – Fine-tuned for medical, legal, and technical vocabulary

System Requirements

GPU Memory
16GB+
Model Size
~1.5GB
Latency
~200ms

How to Use

Load and Use the Model

"keyword">from transformers "keyword">import AutoModelForSpeechSeq2Seq, AutoProcessor
"keyword">import torch

# Load model and processor
model = AutoModelForSpeechSeq2Seq.from_pretrained("tokenaii/listenx-large")
processor = AutoProcessor.from_pretrained("tokenaii/listenx-large")

# Load audio file
audio_input = processor(audio_file, sampling_rate="number">16000, return_tensors="pt")

# Generate transcription
"keyword">with torch.no_grad():
    predicted_ids = model.generate(**audio_input)
    transcription = processor.batch_decode(predicted_ids, skip_special_tokens="constant">True)

print("Transcription:", transcription["number">0])

Download the Model File Only

"keyword">from huggingface_hub "keyword">import hf_hub_download

# Download the model file "keyword">from the repo
model_path = hf_hub_download(
    repo_id="tokenaii/listenx-large",
    filename="pytorch_model.bin"
)
print("Model downloaded to:", model_path)

Can I Run This Model?

Enter your system specifications to check if you can run this model (functionality coming soon):