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 added_tokens.json from MatricariaV/Kabardian-ASR-kaggle: direct link, hf CLI and curl.
- Browser
- Download file 30 Bytes
-
https://huggingface.co/MatricariaV/Kabardian-ASR-kaggle/resolve/main/added_tokens.json
- Command line
-
hf download hf://MatricariaV/Kabardian-ASR-kaggle/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/MatricariaV/Kabardian-ASR-kaggle/resolve/main/added_tokens.json
30 Bytes
| { | |
| "</s>": 37, | |
| "<s>": 36 | |
| } | |