Instructions to use Aunsiels/ChildBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aunsiels/ChildBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Aunsiels/ChildBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Aunsiels/ChildBERT") model = AutoModelForMaskedLM.from_pretrained("Aunsiels/ChildBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d250c19ae69813981df2a3d416451b6477c90f73cee60c85d35768104d764d4
- Size of remote file:
- 2.35 kB
- SHA256:
- b3d6af5026a1064f813958e7381618040be16d76b31c206f97f2cc7eb0afdcc1
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