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