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