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:
- 376da43558d732c74c801b26342bafd3c76b771eb0dbb599e7d86a7dba32fa72
- Size of remote file:
- 3.47 GB
- SHA256:
- cb1193d66c25ec2513c0984ef63aec818053de89c3a95a44f1afe558f7c283b1
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