Instructions to use jsgao/bert-eli5c-retriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jsgao/bert-eli5c-retriever with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jsgao/bert-eli5c-retriever")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jsgao/bert-eli5c-retriever") model = AutoModel.from_pretrained("jsgao/bert-eli5c-retriever", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (703f0e1228768bf703f3f10de1d0024b46d3f237) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>8f7fce8
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