Instructions to use Wikidepia/w2v2-id-tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wikidepia/w2v2-id-tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Wikidepia/w2v2-id-tmp")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Wikidepia/w2v2-id-tmp") model = AutoModelForCTC.from_pretrained("Wikidepia/w2v2-id-tmp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a16a1467b5284ef18e168883e48179a30aa64f376c7152b1fc5777f57d6b8a7d
- Size of remote file:
- 2.99 kB
- SHA256:
- b780e3c5324a3429d581a7405c78229b82721eff956c585132c317eb32de3e43
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