How to use Labib11/PMC_bge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Labib11/PMC_bge")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Labib11/PMC_bge") model = AutoModel.from_pretrained("Labib11/PMC_bge", device_map="auto")
https://huggingface.co/Labib11/PMC_bge/resolve/main/sentence_bert_config.json
hf download hf://Labib11/PMC_bge/sentence_bert_config.json
curl -L -o sentence_bert_config.json https://huggingface.co/Labib11/PMC_bge/resolve/main/sentence_bert_config.json
