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--- |
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license: mit |
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datasets: |
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- wikipedia |
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language: |
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- ja |
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- en |
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--- |
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# tiny-lm |
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This repository provides a tiny 16M parameters language model for debugging and testing purposes. |
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Trained on English and Japanese Wikipedia data. |
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## How to use |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline |
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model = AutoModelForCausalLM.from_pretrained("sbintuitions/tiny-lm", torch_dtype="auto") |
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tokenizer = AutoTokenizer.from_pretrained("sbintuitions/tiny-lm", use_fast=False) |
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generator = pipeline("text-generation", model=model, tokenizer=tokenizer) |
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print(generator("Hello", max_length=30, do_sample=True, top_k=100)) |
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``` |
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## Model architecture |
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A 4-layer, 512-hidden-size transformer-based language model. |
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## Training |
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The model was trained on English Wikipedia and Japanese Wikipedia to optimize a traditional language modelling objective for 25B tokens. |
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## License |
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[MIT License](https://huggingface.co/sbintuitions/tiny-lm/resolve/main/LICENSE) |
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