Instructions to use MatricariaV/Kabardian-ASR-kaggle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatricariaV/Kabardian-ASR-kaggle with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MatricariaV/Kabardian-ASR-kaggle")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("MatricariaV/Kabardian-ASR-kaggle") model = AutoModelForCTC.from_pretrained("MatricariaV/Kabardian-ASR-kaggle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MatricariaV/Kabardian-ASR-kaggle: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/MatricariaV/Kabardian-ASR-kaggle/resolve/main/training_args.bin
- Command line
-
hf download hf://MatricariaV/Kabardian-ASR-kaggle/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MatricariaV/Kabardian-ASR-kaggle/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 2a6cfca16f690295cc492bafe74fa0397e12f7127e4575b3481d9e2aad50cfd0
- Size of remote file:
- 5.3 kB
- SHA256:
- 527fe7b628ef7107fdf55e8d3636dfcd9c5d69519b6603ea627133f0edd76824
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