Instructions to use fanjiang98/ABEL-Query-Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fanjiang98/ABEL-Query-Encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="fanjiang98/ABEL-Query-Encoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("fanjiang98/ABEL-Query-Encoder") model = AutoModel.from_pretrained("fanjiang98/ABEL-Query-Encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from fanjiang98/ABEL-Query-Encoder: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
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https://huggingface.co/fanjiang98/ABEL-Query-Encoder/resolve/main/README.md
- Command line
-
hf download hf://fanjiang98/ABEL-Query-Encoder/README.md
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curl -L -o README.md https://huggingface.co/fanjiang98/ABEL-Query-Encoder/resolve/main/README.md
28 Bytes
metadata
license: apache-2.0