How to use hubert10/train_mask_language_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hubert10/train_mask_language_model")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hubert10/train_mask_language_model") model = AutoModelForMaskedLM.from_pretrained("hubert10/train_mask_language_model", device_map="auto")
https://huggingface.co/hubert10/train_mask_language_model/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://hubert10/train_mask_language_model@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hubert10/train_mask_language_model/resolve/refs%2Fpr%2F1/tokenizer.json
