Instructions to use Sjdan/f05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/f05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sjdan/f05")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Sjdan/f05") model = AutoModelForCTC.from_pretrained("Sjdan/f05", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from Sjdan/f05: direct link, hf CLI and curl.
- Browser
- Download file 214 Bytes
-
https://huggingface.co/Sjdan/f05/resolve/main/vocab.json
- Command line
-
hf download hf://Sjdan/f05/vocab.json
-
curl -L -o vocab.json https://huggingface.co/Sjdan/f05/resolve/main/vocab.json
214 Bytes
| {"h": 0, "w": 1, "c": 2, "k": 3, "g": 4, "f": 5, "d": 6, "u": 7, "l": 8, "t": 9, "p": 10, "r": 11, "s": 12, "e": 13, "a": 14, "o": 15, "m": 16, "i": 17, "n": 19, "y": 20, "b": 21, "|": 18, "[UNK]": 22, "[PAD]": 23} |