Instructions to use ncbi/MedCPT-Query-Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ncbi/MedCPT-Query-Encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ncbi/MedCPT-Query-Encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ncbi/MedCPT-Query-Encoder") model = AutoModel.from_pretrained("ncbi/MedCPT-Query-Encoder", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ncbi/MedCPT-Query-Encoder: direct link, hf CLI and curl.
- Browser
- Download file 706 kB
-
https://huggingface.co/ncbi/MedCPT-Query-Encoder/resolve/main/tokenizer.json
- Command line
-
hf download hf://ncbi/MedCPT-Query-Encoder/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ncbi/MedCPT-Query-Encoder/resolve/main/tokenizer.json
706 kB
File too large to display, you can check the raw version instead.