Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Javanese
whisper
javanese
asr
Generated from Trainer
Eval Results (legacy)
Instructions to use bagasshw/whisper-tiny-javanese-openslr-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bagasshw/whisper-tiny-javanese-openslr-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bagasshw/whisper-tiny-javanese-openslr-v2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bagasshw/whisper-tiny-javanese-openslr-v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("bagasshw/whisper-tiny-javanese-openslr-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bagasshw/whisper-tiny-javanese-openslr-v2: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/bagasshw/whisper-tiny-javanese-openslr-v2/resolve/main/training_args.bin
- Command line
-
hf download hf://bagasshw/whisper-tiny-javanese-openslr-v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bagasshw/whisper-tiny-javanese-openslr-v2/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- c4e9ed4bf56214165f12d0a3d5a13be89cbd51b06822b7bb4727f1f4d5858b56
- Size of remote file:
- 5.69 kB
- SHA256:
- fe0e8251211e6d38badb8bbd86c5c733de06b8686b7ad7c2a958dec7359edd93
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