k-ush

/

tevatron_dpr

like 0

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("feature-extraction", model="k-ush/tevatron_dpr")

# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("k-ush/tevatron_dpr")
model = AutoModel.from_pretrained("k-ush/tevatron_dpr")