Instructions to use hadiqa123/XLS-R_53_english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hadiqa123/XLS-R_53_english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hadiqa123/XLS-R_53_english")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hadiqa123/XLS-R_53_english") model = AutoModelForCTC.from_pretrained("hadiqa123/XLS-R_53_english") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"
|
|
|
|
| 1 |
+
{"h": 0, "w": 1, "k": 2, "z": 3, "d": 4, "a": 5, "j": 6, "t": 7, "y": 8, "c": 9, "p": 10, "g": 11, "o": 12, "n": 13, "u": 14, "q": 16, "v": 17, "e": 18, "r": 19, "i": 20, "l": 21, "m": 22, "b": 23, "x": 24, "f": 25, "s": 26, "'": 27, "|": 15, "[UNK]": 28, "[PAD]": 29}
|