Instructions to use Taekyoon/dpr_context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taekyoon/dpr_context with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Taekyoon/dpr_context")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Taekyoon/dpr_context") model = AutoModel.from_pretrained("Taekyoon/dpr_context", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Taekyoon/dpr_context: direct link, hf CLI and curl.
- Browser
- Download file 671 kB
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https://huggingface.co/Taekyoon/dpr_context/resolve/main/tokenizer.json
- Command line
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hf download hf://Taekyoon/dpr_context/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Taekyoon/dpr_context/resolve/main/tokenizer.json
671 kB
File too large to display, you can check the raw version instead.