Instructions to use classla/wav2vec2-large-slavic-parlaspeech-hr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/wav2vec2-large-slavic-parlaspeech-hr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="classla/wav2vec2-large-slavic-parlaspeech-hr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("classla/wav2vec2-large-slavic-parlaspeech-hr") model = AutoModelForCTC.from_pretrained("classla/wav2vec2-large-slavic-parlaspeech-hr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 000a27948da7af91628fb3a72685734a6e6ba0fe5c0223a3d22745654a84ddd3
- Size of remote file:
- 2.49 GB
- SHA256:
- 273bafda27b9641f6511c79d46270e1d329c0d5b64b1a304df4bc94e5cad708a
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