Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Polish
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use ambind/whisper-tiny-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ambind/whisper-tiny-pl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ambind/whisper-tiny-pl")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ambind/whisper-tiny-pl") model = AutoModelForSpeechSeq2Seq.from_pretrained("ambind/whisper-tiny-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ambind/whisper-tiny-pl: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/ambind/whisper-tiny-pl/resolve/main/training_args.bin
- Command line
-
hf download hf://ambind/whisper-tiny-pl/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ambind/whisper-tiny-pl/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 87b2e528fc220c591764f018cebf309ea062b318071c5131f158baa0dcf9c180
- Size of remote file:
- 5.43 kB
- SHA256:
- cf855a4cc7e8f9f3683b75870a2908e218ad2892d93b2ae3bd957c29add183e2
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