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:
- 41f3a961fa2ecf18a0711388a0eaea938cfe81ca9c896f553331baa95bb12e1b
- Size of remote file:
- 714 MB
- SHA256:
- 15c40226e26541adb2cfffb85258cf0d97480e7bece94393e303b3d4658cf142
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