Instructions to use proseph/ctrlv-speechrecognition-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use proseph/ctrlv-speechrecognition-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="proseph/ctrlv-speechrecognition-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("proseph/ctrlv-speechrecognition-model") model = AutoModelForCTC.from_pretrained("proseph/ctrlv-speechrecognition-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from proseph/ctrlv-speechrecognition-model: direct link, hf CLI and curl.
- Browser
- Download file 268 Bytes
-
https://huggingface.co/proseph/ctrlv-speechrecognition-model/resolve/main/vocab.json
- Command line
-
hf download hf://proseph/ctrlv-speechrecognition-model/vocab.json
-
curl -L -o vocab.json https://huggingface.co/proseph/ctrlv-speechrecognition-model/resolve/main/vocab.json
268 Bytes
| {"u": 0, "m": 1, "j": 3, "b": 4, "g": 5, "v": 6, "z": 7, "y": 8, "f": 9, "q": 10, "'": 11, "a": 12, "n": 13, "t": 14, "l": 15, "x": 16, "o": 17, "r": 18, "p": 19, "w": 20, "c": 21, "e": 22, "k": 23, "s": 24, "h": 25, "i": 26, "d": 27, "|": 2, "[UNK]": 28, "[PAD]": 29} |