Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Javanese
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use OwLim/whisper-java-SLR41-SLR35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OwLim/whisper-java-SLR41-SLR35 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="OwLim/whisper-java-SLR41-SLR35")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("OwLim/whisper-java-SLR41-SLR35") model = AutoModelForSpeechSeq2Seq.from_pretrained("OwLim/whisper-java-SLR41-SLR35", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from OwLim/whisper-java-SLR41-SLR35: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/OwLim/whisper-java-SLR41-SLR35/resolve/af2b86196c1a834c592bea21b8a664c7bfaad511/training_args.bin
- Command line
-
hf download hf://OwLim/whisper-java-SLR41-SLR35@af2b86196c1a834c592bea21b8a664c7bfaad511/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/OwLim/whisper-java-SLR41-SLR35/resolve/af2b86196c1a834c592bea21b8a664c7bfaad511/training_args.bin
5.5 kB
- Xet hash:
- 56e7ad6f57ca209597209218664ebb010d802e9d1a96c4d20d307b8b64f1ab89
- Size of remote file:
- 5.5 kB
- SHA256:
- 550bd0051a83edd3a154d2a639da4474818f54fa2c5e444aa84387be655b4208
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