# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("pulp/CHILDES-ParentBERTo")
model = AutoModelForMaskedLM.from_pretrained("pulp/CHILDES-ParentBERTo")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
The language model trained on a fill-mask task with all the North American parent's data in CHILDES. The parent's data can be found here: https://github.com/xiaomeng-ma/CHILDES
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pulp/CHILDES-ParentBERTo")