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README.md
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---
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datasets:
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- phonemetransformers/IPA-CHILDES
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language:
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- en
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- eu
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- zh
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- da
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- nl
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- hr
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- es
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- et
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- fa
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- fr
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- de
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- hu
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- is
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- id
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- ga
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- it
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- ja
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- ko
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- pt
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- pl
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- qu
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- ro
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- sr
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- sv
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- tr
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- cy
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- 'no'
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---
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# IPA CHILDES Models: Tiny
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Phoneme-based GPT-2 models trained on all 31 sections of the [IPA-CHILDES](https://huggingface.co/datasets/phonemetransformers/IPA-CHILDES) dataset for the paper [BabyLM's First Words: Word Segmentation as a Phonological Probing Task]().
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The models have 600k non-embedding parameters and were trained on 100k tokens of their language. They were evaluated for phonological knowledge using the *word segmentation* task. Check out the paper for more details. Training and analysis scripts can be found [here](https://github.com/codebyzeb/PhonemeTransformers).
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To load a model:
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```python
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from transformers import AutoModel
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farsi_model = AutoModel.from_pretrained('phonemetransformers/ipa-childes-models-tiny', subfolder='Farsi')
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```
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