Instructions to use DeepPavlov/bert-base-bg-cs-pl-ru-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepPavlov/bert-base-bg-cs-pl-ru-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DeepPavlov/bert-base-bg-cs-pl-ru-cased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DeepPavlov/bert-base-bg-cs-pl-ru-cased") model = AutoModel.from_pretrained("DeepPavlov/bert-base-bg-cs-pl-ru-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7c12fca6e854ac40bfab24b8465e81eb1425ae6a42633c5ff3b5cb00a791302
- Size of remote file:
- 714 MB
- SHA256:
- ea6379bcd277ce6caeaa4ed7d0c3be52156ca4a6fb652da2db1990f096e839ee
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