Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Ukrainian
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use nikes64/whisper-small-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikes64/whisper-small-uk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nikes64/whisper-small-uk")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nikes64/whisper-small-uk") model = AutoModelForSpeechSeq2Seq.from_pretrained("nikes64/whisper-small-uk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nikes64/whisper-small-uk: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/nikes64/whisper-small-uk/resolve/main/training_args.bin
- Command line
-
hf download hf://nikes64/whisper-small-uk/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nikes64/whisper-small-uk/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- c40f30062a25fbf71d7ae0333b4ea90683152a5f7e3bfe92a2bc5aa791adffd6
- Size of remote file:
- 5.05 kB
- SHA256:
- 8eaa3656fabc5964739c9307f855cf473bbbcd83043dfdc13afa9be485669997
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