Instructions to use ak3ra/wav2vec2-base-runyankole with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ak3ra/wav2vec2-base-runyankole with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ak3ra/wav2vec2-base-runyankole")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ak3ra/wav2vec2-base-runyankole") model = AutoModelForCTC.from_pretrained("ak3ra/wav2vec2-base-runyankole", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ak3ra/wav2vec2-base-runyankole: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/ak3ra/wav2vec2-base-runyankole/resolve/main/training_args.bin
- Command line
-
hf download hf://ak3ra/wav2vec2-base-runyankole/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ak3ra/wav2vec2-base-runyankole/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- 72dfb8611fd80c1d027639b900a6ecdac3d7ac6bda9ec8c35bfd32a97a0d585d
- Size of remote file:
- 3.64 kB
- SHA256:
- 9e738dfffd8b93a418936f2aaaaa83a15149db04534746acdddc0182d559a37b
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