Instructions to use cointegrated/SONAR_200_converted_text_decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cointegrated/SONAR_200_converted_text_decoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cointegrated/SONAR_200_converted_text_decoder", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cointegrated/SONAR_200_converted_text_decoder", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d7ba581628c2e656d6de12c8aef3eac9c9244d6dd151da417029b23324fa3ff
- Size of remote file:
- 32.2 MB
- SHA256:
- b3be18cc91c94d4a1d83731ace4dac0b90a7db024edecdeb9fe7d19ec01ce901
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