Instructions to use MaximTitarenkoUIT/phonemes_multilang_53 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaximTitarenkoUIT/phonemes_multilang_53 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MaximTitarenkoUIT/phonemes_multilang_53")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("MaximTitarenkoUIT/phonemes_multilang_53") model = AutoModelForCTC.from_pretrained("MaximTitarenkoUIT/phonemes_multilang_53", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ed84a28b27b2c1e4f97656262737cb5f72c3efbab11710e10009ab1c87a8304
- Size of remote file:
- 1.26 GB
- SHA256:
- 234e66d7602ecf05837d4100265cae810de64d31efd870a4b634576530ab46b3
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