Instructions to use MarioNapoli/DynamicWav2Vec_TEST_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarioNapoli/DynamicWav2Vec_TEST_9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MarioNapoli/DynamicWav2Vec_TEST_9")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("MarioNapoli/DynamicWav2Vec_TEST_9") model = AutoModelForCTC.from_pretrained("MarioNapoli/DynamicWav2Vec_TEST_9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02d51aa473bb44ad7a5b7d1e2a99170397d4ba49ac7b22b93894a660484fe65b
- Size of remote file:
- 3.96 kB
- SHA256:
- 51aba4def71d6b1f6684ad29ac7bf8b457610d57ad57a3268c195f2ec8c21148
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