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