Instructions to use voidful/dpr-question_encoder-bert-base-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/dpr-question_encoder-bert-base-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="voidful/dpr-question_encoder-bert-base-multilingual")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("voidful/dpr-question_encoder-bert-base-multilingual") model = AutoModel.from_pretrained("voidful/dpr-question_encoder-bert-base-multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
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