How to use MusYW/MNLP_M2_document_encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MusYW/MNLP_M2_document_encoder")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("MusYW/MNLP_M2_document_encoder") model = AutoModel.from_pretrained("MusYW/MNLP_M2_document_encoder", device_map="auto")
https://huggingface.co/MusYW/MNLP_M2_document_encoder/resolve/main/tokenizer.json
hf download hf://MusYW/MNLP_M2_document_encoder/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/MusYW/MNLP_M2_document_encoder/resolve/main/tokenizer.json
