How to use dbmdz/bert-tiny-historic-multilingual-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dbmdz/bert-tiny-historic-multilingual-cased")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-tiny-historic-multilingual-cased") model = AutoModelForMaskedLM.from_pretrained("dbmdz/bert-tiny-historic-multilingual-cased", device_map="auto")
https://huggingface.co/dbmdz/bert-tiny-historic-multilingual-cased/resolve/main/stats/figures/bl_corpus_stats.png
hf download hf://dbmdz/bert-tiny-historic-multilingual-cased/stats/figures/bl_corpus_stats.png
curl -L -o bl_corpus_stats.png https://huggingface.co/dbmdz/bert-tiny-historic-multilingual-cased/resolve/main/stats/figures/bl_corpus_stats.png
