Instructions to use Sjdan/m11_main with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/m11_main with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sjdan/m11_main")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Sjdan/m11_main") model = AutoModelForCTC.from_pretrained("Sjdan/m11_main", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"
|
|
|
|
| 1 |
+
{"r": 0, "d": 1, "o": 2, "g": 4, "c": 5, "i": 6, "l": 7, "n": 8, "k": 9, "e": 10, "u": 11, "a": 12, "m": 13, "y": 14, "s": 15, "h": 16, "t": 17, "w": 18, "f": 19, "b": 20, "p": 21, "|": 3, "[UNK]": 22, "[PAD]": 23}
|