How to use DGurgurov/mbert_npi-deva with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DGurgurov/mbert_npi-deva")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DGurgurov/mbert_npi-deva") model = AutoModelForMaskedLM.from_pretrained("DGurgurov/mbert_npi-deva", device_map="auto")
https://huggingface.co/DGurgurov/mbert_npi-deva/resolve/main/tokenizer.json
hf download hf://DGurgurov/mbert_npi-deva/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/DGurgurov/mbert_npi-deva/resolve/main/tokenizer.json
