How to use WpythonW/RUbert-tiny_custom_cross-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WpythonW/RUbert-tiny_custom_cross-encoder")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WpythonW/RUbert-tiny_custom_cross-encoder") model = AutoModelForSequenceClassification.from_pretrained("WpythonW/RUbert-tiny_custom_cross-encoder", device_map="auto")
https://huggingface.co/WpythonW/RUbert-tiny_custom_cross-encoder/resolve/3d7ac4a5cb2695a26ba068725bbc3611a7f50ce4/tokenizer.json
hf download hf://WpythonW/RUbert-tiny_custom_cross-encoder@3d7ac4a5cb2695a26ba068725bbc3611a7f50ce4/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/WpythonW/RUbert-tiny_custom_cross-encoder/resolve/3d7ac4a5cb2695a26ba068725bbc3611a7f50ce4/tokenizer.json
