Instructions to use cardev212/large-v2_completo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardev212/large-v2_completo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cardev212/large-v2_completo")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("cardev212/large-v2_completo") model = AutoModelForSpeechSeq2Seq.from_pretrained("cardev212/large-v2_completo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f3b4b94634653f2c00f9614f88378a629273e9ea6015b0466e47c34b1cb089f
- Size of remote file:
- 63.1 MB
- SHA256:
- c7db2a6e7842486163729f367e6a01fd39ea34409781099f28da25952d21720c
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