Instructions to use susnato/clvp_dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use susnato/clvp_dev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="susnato/clvp_dev")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("susnato/clvp_dev") model = AutoModel.from_pretrained("susnato/clvp_dev") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a5ffdc3648484631c74d78cb07da5d58ad4252d1cdc37941924e0e516db2670
- Size of remote file:
- 2.66 GB
- SHA256:
- f0d401dc6548b661c4acda265c41d663387eaaa7935fdec197e897b26c195e64
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