bergum

/

product_description_encoder

like 0

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

pipe = pipeline("feature-extraction", model="bergum/product_description_encoder")

# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("bergum/product_description_encoder")
model = AutoModel.from_pretrained("bergum/product_description_encoder")