How to use HPLT/hplt_bert_base_et with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_et", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_et", trust_remote_code=True, device_map="auto")
https://huggingface.co/HPLT/hplt_bert_base_et/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://HPLT/hplt_bert_base_et@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/HPLT/hplt_bert_base_et/resolve/refs%2Fpr%2F1/tokenizer.json
