Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Indonesian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use TheRains/cv9-special-batch12-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRains/cv9-special-batch12-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheRains/cv9-special-batch12-base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TheRains/cv9-special-batch12-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("TheRains/cv9-special-batch12-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from TheRains/cv9-special-batch12-base: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/TheRains/cv9-special-batch12-base/resolve/main/training_args.bin
- Command line
-
hf download hf://TheRains/cv9-special-batch12-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TheRains/cv9-special-batch12-base/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- 0e3467cd982c3069f5492b957bbdf0d8873b030a407c56cafe671f128cb60d77
- Size of remote file:
- 4.16 kB
- SHA256:
- 13a000232c837d293a63f0aeb44e83f4427e929b3b2a59da7caa3e7f28a4044a
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