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README.md
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# babybabellm-multismall
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This repository contains checkpoints for the **
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## Files
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- `*_15_16.bin` β main model weights
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- `*_15_16_ema.bin` β EMA smoothed weights
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- `*_15_16_state_dict.bin` β PyTorch state dict
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- `pytorch_model.bin` β extracted EMA weights (for AutoModel)
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## Usage
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```python
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from transformers import AutoModel, AutoTokenizer
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repo = "suchirsalhan/babybabellm-
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tokenizer = AutoTokenizer.from_pretrained(repo)
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model = AutoModel.from_pretrained(repo)
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inputs = tokenizer("Hello world!", return_tensors="pt")
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```
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## Notes
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- These are research checkpoints trained on BabyLM-style data.
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- Model naming: `
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# babybabellm-multismall
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This repository contains checkpoints for the **multilingual (all)** variant of **BabyBabeLLM**.
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## Files
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- `*_15_16.bin` β main model weights
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- `*_15_16_ema.bin` β EMA smoothed weights
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- `*_15_16_state_dict.bin` β PyTorch state dict
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- `pytorch_model.bin` β extracted EMA weights (for AutoModel)
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## Usage
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```python
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from transformers import AutoModel, AutoTokenizer
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repo = "suchirsalhan/babybabellm-multi-all"
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tokenizer = AutoTokenizer.from_pretrained(repo)
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model = AutoModel.from_pretrained(repo)
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inputs = tokenizer("Hello world!", return_tensors="pt")
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```
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## Notes
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- These are research checkpoints trained on BabyLM-style data.
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- Model naming: `multiall` indicates the language/config variant.
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