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
Download vocab.json from emon1521/wav2vec2-try: direct link, hf CLI and curl.
- Browser
- Download file 268 Bytes
-
https://huggingface.co/emon1521/wav2vec2-try/resolve/main/vocab.json
- Command line
-
hf download hf://emon1521/wav2vec2-try/vocab.json
-
curl -L -o vocab.json https://huggingface.co/emon1521/wav2vec2-try/resolve/main/vocab.json
268 Bytes
| {"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} |