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:
- ab5a36e04af841e5f7cb366527dfb16658a8bca45fc6bb1ff95860d0b7202910
- Size of remote file:
- 5.37 kB
- SHA256:
- 2069d5c0e383bb2beca3646370515dbf2c15a1bf2a57e1b7e0193857878b4968
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