Instructions to use classla/bcms-bertic-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/bcms-bertic-generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("classla/bcms-bertic-generator") model = AutoModelForPreTraining.from_pretrained("classla/bcms-bertic-generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b574a88a929c2c996381a9b45b32013a4fa3e3058e864b88f671875d304931d6
- Size of remote file:
- 140 MB
- SHA256:
- 7bae5bb89d8c34b4eb60911e95f44fc6aaf794733f99c1d615ed7ccab04caaf3
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