# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Linseypass/mirror-SPECTER")
model = AutoModel.from_pretrained("Linseypass/mirror-SPECTER")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
This model uses an unsupervised sentence encoder proposed by Liu et al. (2021) to create better sentence representations for the SPECTER transformer model.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Linseypass/mirror-SPECTER")