Instructions to use amalia-llm/AMALIA-speech-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amalia-llm/AMALIA-speech-encoder with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, WhisperEncoder processor = AutoProcessor.from_pretrained("amalia-llm/AMALIA-speech-encoder") model = WhisperEncoder.from_pretrained("amalia-llm/AMALIA-speech-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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encoder.eval()
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```
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##
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encoder.eval()
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```
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## Citation
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**BibTeX:**
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```
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@inproceedings{camoes,
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title={{CAMÕES: A Comprehensive Automatic Speech Recognition Benchmark for European Portuguese}},
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author={Carlos Carvalho, Francisco Teixeira, Catarina Botelho, Anna Pompili, Rubén Solera-Ureña, Sérgio Paulo, Mariana Julião, Thomas Rolland, John Mendonça, Diogo Pereira, Isabel Trancoso, Alberto Abad},
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booktitle={Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)},
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year={2025},
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}
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```
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