Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Javanese
whisper
javanese
asr
Generated from Trainer
Eval Results (legacy)
Instructions to use bagasshw/asr_java_result with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bagasshw/asr_java_result with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bagasshw/asr_java_result")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bagasshw/asr_java_result") model = AutoModelForSpeechSeq2Seq.from_pretrained("bagasshw/asr_java_result", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 236 Bytes
861b11a | 1 2 3 4 5 6 7 8 9 | {
"epoch": 2.0547945205479454,
"eval_loss": 1.0129033327102661,
"eval_runtime": 195.144,
"eval_samples": 1165,
"eval_samples_per_second": 5.97,
"eval_steps_per_second": 0.374,
"eval_wer": 0.6624243173112566
} |