Instructions to use pulp/CHILDES-ParentBERTo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pulp/CHILDES-ParentBERTo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pulp/CHILDES-ParentBERTo")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pulp/CHILDES-ParentBERTo") model = AutoModelForMaskedLM.from_pretrained("pulp/CHILDES-ParentBERTo") - Notebooks
- Google Colab
- Kaggle
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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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