Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Polish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use bardsai/whisper-medium-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bardsai/whisper-medium-pl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bardsai/whisper-medium-pl")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bardsai/whisper-medium-pl") model = AutoModelForSpeechSeq2Seq.from_pretrained("bardsai/whisper-medium-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bardsai/whisper-medium-pl: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/bardsai/whisper-medium-pl/resolve/main/training_args.bin
- Command line
-
hf download hf://bardsai/whisper-medium-pl/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bardsai/whisper-medium-pl/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- f2c04ee10aee71c94b7ff7e3866ce749955869772950ff2949b62617fad62c05
- Size of remote file:
- 3.58 kB
- SHA256:
- 02e666c29888bcd084566d45952c6a8cb48d5e107042fdf945c785ca002f1f1b
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