Feature Extraction
Transformers
PyTorch
TensorFlow
JAX
Bulgarian
Macedonian
multilingual
roberta
BERTovski
MaCoCu
Instructions to use MaCoCu/BERTovski with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaCoCu/BERTovski with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MaCoCu/BERTovski")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("MaCoCu/BERTovski") model = AutoModel.from_pretrained("MaCoCu/BERTovski") - Notebooks
- Google Colab
- Kaggle
Commit History
Add multilingual to the language tag 69c1738
Update README.md 769a63d
Correct link 1811e31
Add MaCoCu as tag e9660d8
Add vocab file 6388c21
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First version of README 4ba9940
First push of model files d6e689b
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