How to use fanjiang98/ABEL-Passage-Encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="fanjiang98/ABEL-Passage-Encoder")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("fanjiang98/ABEL-Passage-Encoder") model = AutoModel.from_pretrained("fanjiang98/ABEL-Passage-Encoder", device_map="auto")
https://huggingface.co/fanjiang98/ABEL-Passage-Encoder/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://fanjiang98/ABEL-Passage-Encoder@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/fanjiang98/ABEL-Passage-Encoder/resolve/refs%2Fpr%2F1/tokenizer.json
