Instructions to use emon1521/wav2vec2-try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emon1521/wav2vec2-try with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="emon1521/wav2vec2-try")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("emon1521/wav2vec2-try") model = AutoModelForCTC.from_pretrained("emon1521/wav2vec2-try", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
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{"f": 0, "b": 1, "t": 2, "d": 3, "p": 4, "u": 5, "z": 6, "v": 8, "e": 9, "l": 10, "g": 11, "o": 12, "a": 13, "q": 14, "j": 15, "m": 16, "x": 17, "h": 18, "n": 19, "y": 20, "s": 21, "r": 22, "i": 23, "w": 24, "k": 25, "c": 26, "'": 27, "|": 7, "[UNK]": 28, "[PAD]": 29}
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