Instructions to use Sjdan/f05_main with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/f05_main with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sjdan/f05_main")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Sjdan/f05_main") model = AutoModelForCTC.from_pretrained("Sjdan/f05_main", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
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{"t": 0, "o": 1, "i": 2, "c": 3, "s": 4, "n": 5, "y": 6, "m": 7, "g": 8, "f": 9, "d": 10, "h": 11, "w": 12, "p": 13, "r": 14, "u": 15, "b": 16, "a": 17, "l": 19, "e": 20, "k": 21, "|": 18, "[UNK]": 22, "[PAD]": 23}
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