Instructions to use vblagoje/dpr-question_encoder-single-lfqa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vblagoje/dpr-question_encoder-single-lfqa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vblagoje/dpr-question_encoder-single-lfqa-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vblagoje/dpr-question_encoder-single-lfqa-base") model = AutoModel.from_pretrained("vblagoje/dpr-question_encoder-single-lfqa-base") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse filesUse DPRQuestionEncoder architecture
- config.json +1 -1
config.json
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"architectures": [
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"attention_probs_dropout_prob": 0.1,
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"gradient_checkpointing": false,
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"architectures": [
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"DPRQuestionEncoder"
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],
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"attention_probs_dropout_prob": 0.1,
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"gradient_checkpointing": false,
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