Instructions to use brever/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brever/dummy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="brever/dummy")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("brever/dummy") model = AutoModelForCTC.from_pretrained("brever/dummy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"m": 0, "f": 1, "e": 2, "o": 3, "h": 4, "t": 5, "j": 6, "c": 7, "k": 8, "g": 9, "v": 10, "q": 11, "n": 13, "u": 14, "d": 15, "l": 16, "a": 17, "x": 18, "p": 19, "y": 20, "'": 21, "b": 22, "i": 23, "z": 24, "s": 25, "w": 26, "r": 27, "|": 12, "[UNK]": 28, "[PAD]": 29} |