Instructions to use classla/wav2vec2-xls-r-parlaspeech-hr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/wav2vec2-xls-r-parlaspeech-hr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="classla/wav2vec2-xls-r-parlaspeech-hr")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("classla/wav2vec2-xls-r-parlaspeech-hr") model = AutoModelForCTC.from_pretrained("classla/wav2vec2-xls-r-parlaspeech-hr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from classla/wav2vec2-xls-r-parlaspeech-hr: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/classla/wav2vec2-xls-r-parlaspeech-hr/resolve/main/training_args.bin
- Command line
-
hf download hf://classla/wav2vec2-xls-r-parlaspeech-hr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/classla/wav2vec2-xls-r-parlaspeech-hr/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- 54046175e81ebf07d5120e150c45fa807b624aa88c612d913b225b46e69868b1
- Size of remote file:
- 2.99 kB
- SHA256:
- 903a958bf893998150c6891a9f369853f085dd31bfb492b34bf63bb942ca1cc7
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