Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use amanuelbyte/mms-hau-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amanuelbyte/mms-hau-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="amanuelbyte/mms-hau-finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("amanuelbyte/mms-hau-finetuned") model = AutoModelForCTC.from_pretrained("amanuelbyte/mms-hau-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d4a2675d4edf8af7506b62dd3254c579b46437df24ac27c42ac5e0694292912
- Size of remote file:
- 5.2 kB
- SHA256:
- fa16172a78b062dd7bb4d7de1f68511510efcaa5d990fc8b4ae1cf1c77c2993c
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