Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
Generated from Trainer
Instructions to use Dearlie/whisper-base2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dearlie/whisper-base2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Dearlie/whisper-base2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Dearlie/whisper-base2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Dearlie/whisper-base2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Dearlie/whisper-base2: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/Dearlie/whisper-base2/resolve/main/training_args.bin
- Command line
-
hf download hf://Dearlie/whisper-base2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Dearlie/whisper-base2/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 1ed5d4d36bf2cf271b84453630768113fd4045e58c6fdf2a695866e75e967947
- Size of remote file:
- 5.24 kB
- SHA256:
- 92f54d14cc004b99661723520e404d27a3262c347923d573bb689881d67eab3c
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