How to use sercetexam9/rubert-tiny2-rus-MICRO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sercetexam9/rubert-tiny2-rus-MICRO")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sercetexam9/rubert-tiny2-rus-MICRO") model = AutoModelForSequenceClassification.from_pretrained("sercetexam9/rubert-tiny2-rus-MICRO", device_map="auto")
https://huggingface.co/sercetexam9/rubert-tiny2-rus-MICRO/resolve/main/tokenizer.json
hf download hf://sercetexam9/rubert-tiny2-rus-MICRO/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/sercetexam9/rubert-tiny2-rus-MICRO/resolve/main/tokenizer.json
