Instructions to use hadiqa123/XLS-R_timit_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hadiqa123/XLS-R_timit_en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hadiqa123/XLS-R_timit_en")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hadiqa123/XLS-R_timit_en") model = AutoModelForCTC.from_pretrained("hadiqa123/XLS-R_timit_en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from hadiqa123/XLS-R_timit_en: direct link, hf CLI and curl.
- Browser
- Download file 277 Bytes
-
https://huggingface.co/hadiqa123/XLS-R_timit_en/resolve/main/vocab.json
- Command line
-
hf download hf://hadiqa123/XLS-R_timit_en/vocab.json
-
curl -L -o vocab.json https://huggingface.co/hadiqa123/XLS-R_timit_en/resolve/main/vocab.json
277 Bytes
| {"h": 0, "a": 1, "b": 2, "c": 3, "e": 4, "k": 5, "w": 6, "l": 7, "q": 8, "y": 9, "f": 10, "m": 11, "x": 12, "s": 13, "o": 14, "r": 15, "'": 16, "d": 17, "n": 18, "g": 19, "-": 20, "u": 21, "i": 22, "j": 24, "v": 25, "z": 26, "p": 27, "t": 28, "|": 23, "[UNK]": 29, "[PAD]": 30} |