Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Croatian
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use mapau/whisper-small-hr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mapau/whisper-small-hr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mapau/whisper-small-hr")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mapau/whisper-small-hr") model = AutoModelForSpeechSeq2Seq.from_pretrained("mapau/whisper-small-hr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mapau/whisper-small-hr: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/mapau/whisper-small-hr/resolve/main/training_args.bin
- Command line
-
hf download hf://mapau/whisper-small-hr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mapau/whisper-small-hr/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- c30ee40188eb2f4f62e0f5bde9feb6536bf3669612730cdbfdb68822ccdfb26d
- Size of remote file:
- 4.6 kB
- SHA256:
- 32486df3a22fe0ce7704dd4920383a602a3f40c2215ed32225b813ee9fdfc67a
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