Instructions to use Sjdan/f03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/f03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sjdan/f03")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Sjdan/f03") model = AutoModelForCTC.from_pretrained("Sjdan/f03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from Sjdan/f03: direct link, hf CLI and curl.
- Browser
- Download file 214 Bytes
-
https://huggingface.co/Sjdan/f03/resolve/main/vocab.json
- Command line
-
hf download hf://Sjdan/f03/vocab.json
-
curl -L -o vocab.json https://huggingface.co/Sjdan/f03/resolve/main/vocab.json
214 Bytes
| {"k": 0, "i": 1, "t": 2, "d": 3, "l": 4, "o": 5, "b": 6, "g": 7, "p": 8, "y": 9, "r": 10, "c": 11, "u": 12, "a": 13, "s": 14, "e": 15, "f": 16, "m": 17, "n": 18, "w": 20, "h": 21, "|": 19, "[UNK]": 22, "[PAD]": 23} |