Instructions to use Ansu/Hubert-base-ASR-eu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ansu/Hubert-base-ASR-eu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Ansu/Hubert-base-ASR-eu")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Ansu/Hubert-base-ASR-eu") model = AutoModelForCTC.from_pretrained("Ansu/Hubert-base-ASR-eu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94143bf89ef7005d6907e04cb7a0f2a46f2d79e45c7b0f49a5a900030c5837a3
- Size of remote file:
- 378 MB
- SHA256:
- 0178b83529ab42d4169c7496ea4d371cbb6bbd2ac4f7eef4bcee08e3eb98aa1c
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