Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Indonesian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use TheRains/cv9-special-batch8-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRains/cv9-special-batch8-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheRains/cv9-special-batch8-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TheRains/cv9-special-batch8-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("TheRains/cv9-special-batch8-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from TheRains/cv9-special-batch8-tiny: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/TheRains/cv9-special-batch8-tiny/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://TheRains/cv9-special-batch8-tiny/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/TheRains/cv9-special-batch8-tiny/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- a7ec84c9ad1d03320d7e5a28e8701749d538bd44ff084f1e175d00fa2dc0d1c2
- Size of remote file:
- 151 MB
- SHA256:
- 11d0bc9a78a2ad34004488e81abfaa15c5981317e8c697932cea6f63b97076c5
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