Instructions to use RAYZ/macbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RAYZ/macbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="RAYZ/macbert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("RAYZ/macbert") model = AutoModel.from_pretrained("RAYZ/macbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c56574187e2657842d6c2b3cbcf162b07984a0dd46b912a2a698174e172c9f64
- Size of remote file:
- 409 MB
- SHA256:
- 15bf54d8e643ee55748dded97901476a3d0c6b592706ab471c341c557efa5969
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