How to use weiweishi/roc-bert-base-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="weiweishi/roc-bert-base-zh")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("weiweishi/roc-bert-base-zh") model = AutoModelForPreTraining.from_pretrained("weiweishi/roc-bert-base-zh", device_map="auto")
https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/90abcfaf66406dd8b2413c87f414dffabb408b44/word_pronunciation.json
hf download hf://weiweishi/roc-bert-base-zh@90abcfaf66406dd8b2413c87f414dffabb408b44/word_pronunciation.json
curl -L -o word_pronunciation.json https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/90abcfaf66406dd8b2413c87f414dffabb408b44/word_pronunciation.json
