Instructions to use classla/bcms-bertic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/bcms-bertic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("classla/bcms-bertic") model = AutoModelForPreTraining.from_pretrained("classla/bcms-bertic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 463fd1258f26646c1500d0c316682de1ce0c8822eca84c973523e7952bb013a2
- Size of remote file:
- 443 MB
- SHA256:
- 745aa901297ef87d4b0e250de8501dad9a693282f5a643a5b33e30202238c583
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