Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Polish
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use ambind/whisper-tiny-pl-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ambind/whisper-tiny-pl-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ambind/whisper-tiny-pl-2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ambind/whisper-tiny-pl-2") model = AutoModelForSpeechSeq2Seq.from_pretrained("ambind/whisper-tiny-pl-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ambind/whisper-tiny-pl-2: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/ambind/whisper-tiny-pl-2/resolve/main/training_args.bin
- Command line
-
hf download hf://ambind/whisper-tiny-pl-2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ambind/whisper-tiny-pl-2/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 59a687c8d5a14a543d7b8ac33eae36385b19cc22d19ca5cea19b2354b65fa892
- Size of remote file:
- 5.43 kB
- SHA256:
- 24c777ffa9e5be45f02e3619c28bd4c5c0160252acd406c0514da207f69731ba
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