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 pytorch_model.bin from TheRains/cv9-special-batch12-base: direct link, hf CLI and curl.
- Browser
- Download file 290 MB
-
https://huggingface.co/TheRains/cv9-special-batch12-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://TheRains/cv9-special-batch12-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/TheRains/cv9-special-batch12-base/resolve/main/pytorch_model.bin
290 MB
- Xet hash:
- 6faabe161b23bad4b597d8acd9e73b40331af0f3ca348abc304d17ad4b3aa1e1
- Size of remote file:
- 290 MB
- SHA256:
- 6216ef1a5dda202fab46a67bf25e4365666b1c04f9300e443117b8c4c18075e9
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