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