Instructions to use deepvk/bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepvk/bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="deepvk/bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deepvk/bert-base-uncased") model = AutoModel.from_pretrained("deepvk/bert-base-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87135fc80ae07851274f26ef8a87a0b78e5eb3e5f6cb79c9f1fe143b23ff4ad2
- Size of remote file:
- 455 MB
- SHA256:
- 1cfccccd0618f070fec77debdfc1b9f46e99c4633007de4a647a758b775da77b
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