Instructions to use deepvk/deberta-v1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepvk/deberta-v1-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="deepvk/deberta-v1-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deepvk/deberta-v1-base") model = AutoModel.from_pretrained("deepvk/deberta-v1-base") - Notebooks
- Google Colab
- Kaggle
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README.md
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```python
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from transformers import AutoTokenizer, AutoModel
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tokenizer = AutoTokenizer.from_pretrained("deepvk/deberta-base")
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model = AutoModel.from_pretrained("deepvk/deberta-base")
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text = "Привет, мир!"
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```python
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from transformers import AutoTokenizer, AutoModel
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tokenizer = AutoTokenizer.from_pretrained("deepvk/deberta-v1-base")
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model = AutoModel.from_pretrained("deepvk/deberta-v1-base")
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text = "Привет, мир!"
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