How to use bergum/product_title_encoder_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bergum/product_title_encoder_binary")
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bergum/product_title_encoder_binary") model = AutoModel.from_pretrained("bergum/product_title_encoder_binary", device_map="auto")
https://huggingface.co/bergum/product_title_encoder_binary/resolve/991f5ff5fc9fe1339a4f4f220255072bfc287922/tokenizer.json
hf download hf://bergum/product_title_encoder_binary@991f5ff5fc9fe1339a4f4f220255072bfc287922/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/bergum/product_title_encoder_binary/resolve/991f5ff5fc9fe1339a4f4f220255072bfc287922/tokenizer.json
