Instructions to use bivariant/asr-baatonou with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bivariant/asr-baatonou with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bivariant/asr-baatonou")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bivariant/asr-baatonou") model = AutoModelForSpeechSeq2Seq.from_pretrained("bivariant/asr-baatonou", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bivariant/asr-baatonou: direct link, hf CLI and curl.
- Browser
- Download file 6.03 kB
-
https://huggingface.co/bivariant/asr-baatonou/resolve/main/training_args.bin
- Command line
-
hf download hf://bivariant/asr-baatonou/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bivariant/asr-baatonou/resolve/main/training_args.bin
6.03 kB
- Xet hash:
- 1b321453af691322bef34932d9611556fe633946f1c916b111f8420c1ce6f468
- Size of remote file:
- 6.03 kB
- SHA256:
- d0ddb799fb4df6ccf1ae6b648ffe4959b8ba7f3fa869fa6072ef9dd59ecc7d12
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