Instructions to use Bochkov/bvv241-2-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bochkov/bvv241-2-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Bochkov/bvv241-2-3")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bochkov/bvv241-2-3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add metadata, paper and GitHub links
#1
by nielsr HF Staff - opened
This PR enhances the model card by adding key metadata (license, library_name, pipeline_tag, and relevant tags), improving discoverability and integration on the Hugging Face Hub. It also includes prominent links to the associated paper and the GitHub repository for easy access to research and code.
Thank you!
Bochkov changed pull request status to merged