Instructions to use Bochkov/bvv241-nemo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bochkov/bvv241-nemo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Bochkov/bvv241-nemo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bochkov/bvv241-nemo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bd53abe488982c1cefe8d0b46da1642571f57608dfd45570d59c2f82af8d6f5
- Size of remote file:
- 537 MB
- SHA256:
- 729b5cc98ed3c2340688fec2e08b0cbb83e37aeaf76a93337156ce6a3515234b
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