Instructions to use Sjdan/f03_main with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/f03_main with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sjdan/f03_main")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Sjdan/f03_main") model = AutoModelForCTC.from_pretrained("Sjdan/f03_main", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"
|
|
|
|
| 1 |
+
{"d": 0, "y": 1, "c": 2, "o": 3, "a": 4, "b": 5, "k": 6, "u": 7, "m": 8, "w": 9, "g": 10, "r": 11, "s": 12, "f": 13, "h": 14, "l": 15, "p": 16, "n": 18, "e": 19, "i": 20, "t": 21, "|": 17, "[UNK]": 22, "[PAD]": 23}
|