Instructions to use Sjdan/m16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/m16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sjdan/m16")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Sjdan/m16") model = AutoModelForCTC.from_pretrained("Sjdan/m16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from Sjdan/m16: direct link, hf CLI and curl.
- Browser
- Download file 214 Bytes
-
https://huggingface.co/Sjdan/m16/resolve/main/vocab.json
- Command line
-
hf download hf://Sjdan/m16/vocab.json
-
curl -L -o vocab.json https://huggingface.co/Sjdan/m16/resolve/main/vocab.json
214 Bytes
| {"p": 0, "g": 1, "d": 2, "r": 3, "o": 4, "e": 5, "h": 6, "i": 7, "s": 9, "f": 10, "m": 11, "w": 12, "b": 13, "t": 14, "y": 15, "l": 16, "n": 17, "a": 18, "k": 19, "c": 20, "u": 21, "|": 8, "[UNK]": 22, "[PAD]": 23} |