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 model.safetensors from bardsai/whisper-small-pl: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/bardsai/whisper-small-pl/resolve/86f778cf7b0624a4585208c854b19cf5fc2bf2fd/model.safetensors
- Command line
-
hf download hf://bardsai/whisper-small-pl@86f778cf7b0624a4585208c854b19cf5fc2bf2fd/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/bardsai/whisper-small-pl/resolve/86f778cf7b0624a4585208c854b19cf5fc2bf2fd/model.safetensors
967 MB
- Xet hash:
- e0978322a8723913e8d5387db8bc1c160034c2fda213b903fc5c17a07ec5b0c2
- Size of remote file:
- 967 MB
- SHA256:
- 05e78b955575e6a60e2ebf43a7d4f0b70e96acdc22c8bd14df990dbe862345aa
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