Instructions to use coddiw0mple/HiToEn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coddiw0mple/HiToEn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="coddiw0mple/HiToEn")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("coddiw0mple/HiToEn") model = AutoModelForCTC.from_pretrained("coddiw0mple/HiToEn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a8c18c222b8f03d1bca029b21d162b0fc0d7edbb1619fbe8dfa3fecaf2b35ec
- Size of remote file:
- 851 MB
- SHA256:
- 1f172997077ef9d160985b78897aa1741ddae82dc20d17bceab2f10e4ed3bd97
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