How to use castorini/wiki-text-8-4-multi-dpr2-query-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="castorini/wiki-text-8-4-multi-dpr2-query-encoder")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("castorini/wiki-text-8-4-multi-dpr2-query-encoder") model = AutoModel.from_pretrained("castorini/wiki-text-8-4-multi-dpr2-query-encoder", device_map="auto")
https://huggingface.co/castorini/wiki-text-8-4-multi-dpr2-query-encoder/resolve/main/tokenizer.json
hf download hf://castorini/wiki-text-8-4-multi-dpr2-query-encoder/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/castorini/wiki-text-8-4-multi-dpr2-query-encoder/resolve/main/tokenizer.json
