How to use seddiktrk/bert-base-uncased-issues-128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="seddiktrk/bert-base-uncased-issues-128")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("seddiktrk/bert-base-uncased-issues-128") model = AutoModelForMaskedLM.from_pretrained("seddiktrk/bert-base-uncased-issues-128", device_map="auto")
https://huggingface.co/seddiktrk/bert-base-uncased-issues-128/resolve/main/tokenizer.json
hf download hf://seddiktrk/bert-base-uncased-issues-128/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/seddiktrk/bert-base-uncased-issues-128/resolve/main/tokenizer.json
