Instructions to use ntoldalagi/C0_LID_DEV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ntoldalagi/C0_LID_DEV with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ntoldalagi/C0_LID_DEV")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ntoldalagi/C0_LID_DEV") model = AutoModelForCTC.from_pretrained("ntoldalagi/C0_LID_DEV", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Mar24_00-35-00_ip-172-31-29-56
- Mar24_00-39-26_ip-172-31-29-56
- Mar24_01-25-45_ip-172-31-29-56
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- Mar28_04-38-40_ip-172-31-29-56
- Mar28_04-41-08_ip-172-31-29-56
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- Mar28_15-20-59_ip-172-31-29-56
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- Mar28_15-24-29_ip-172-31-29-56
- Mar28_15-32-54_ip-172-31-29-56
- Mar28_15-38-26_ip-172-31-29-56
- Mar28_15-41-35_ip-172-31-29-56