Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Polish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use bardsai/whisper-small-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bardsai/whisper-small-pl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bardsai/whisper-small-pl")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bardsai/whisper-small-pl") model = AutoModelForSpeechSeq2Seq.from_pretrained("bardsai/whisper-small-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from bardsai/whisper-small-pl: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/bardsai/whisper-small-pl/resolve/fde1a3bb68ba572fcf38a5bc4e115f8bfcaadfbe/pytorch_model.bin
- Command line
-
hf download hf://bardsai/whisper-small-pl@fde1a3bb68ba572fcf38a5bc4e115f8bfcaadfbe/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bardsai/whisper-small-pl/resolve/fde1a3bb68ba572fcf38a5bc4e115f8bfcaadfbe/pytorch_model.bin
967 MB
- Xet hash:
- 6b3954a374c1b2e047b9bc7cba7365b847893551942d555f3a300e8ec1d04f72
- Size of remote file:
- 967 MB
- SHA256:
- 61c1f6664f7c82040c86757aa383e8cdb886a51111b15f910c1e56b60f229618
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