Instructions to use phueb/BabyBERTa-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phueb/BabyBERTa-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="phueb/BabyBERTa-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("phueb/BabyBERTa-1") model = AutoModelForMaskedLM.from_pretrained("phueb/BabyBERTa-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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[link-BabyBERTa-1]: https://huggingface.co/phueb/BabyBERTa-1
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[link-BabyBERTa-
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[link-BabyBERTa-
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[link-BabyBERTa-1]: https://huggingface.co/phueb/BabyBERTa-1
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[link-BabyBERTa-2]: https://huggingface.co/phueb/BabyBERTa-2
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[link-BabyBERTa-3]: https://huggingface.co/phueb/BabyBERTa-3
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---
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language:
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- en
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tags:
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- child-directed-language
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- acquisition
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---
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