Instructions to use Bochkov/bvv241-max with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bochkov/bvv241-max with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Bochkov/bvv241-max")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bochkov/bvv241-max", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 182c058472895d8cff3e5ea003d1ad1713001c2819b875294733153f92871d84
- Size of remote file:
- 11.3 MB
- SHA256:
- 23d94d200890dc1976b2e3b7d3c96834ea548f90b472bdd7b417ee9517f5a69c
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