Automatic Speech Recognition
Transformers
Safetensors
Hungarian
whisper
Generated from Trainer
hungarian
Eval Results (legacy)
Instructions to use sarpba/whisper-base-hungarian_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sarpba/whisper-base-hungarian_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sarpba/whisper-base-hungarian_v3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sarpba/whisper-base-hungarian_v3") model = AutoModelForSpeechSeq2Seq.from_pretrained("sarpba/whisper-base-hungarian_v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 928cb5bfb5106ac7b20b7d613d5d36cb6a1458d741df2fe6c0216d5989e5ec46
- Size of remote file:
- 290 MB
- SHA256:
- 1aa3e35f4c3c5cf3da80d051f3880963d33396768073e4cef487d8cba7b14abc
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