Instructions to use HuggingFaceTB/SmolLM2-360M-intermediate-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/SmolLM2-360M-intermediate-checkpoints with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HuggingFaceTB/SmolLM2-360M-intermediate-checkpoints", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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# SmolLM2-360M Intermediate Checkpoints
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We are releasing an intermediate checkpoint of SmolLM2 to enable further research on mechanistic interpretability and learning dynamics. This repo contains the checkpoint every
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## How to Load a Checkpoint
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```python
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# SmolLM2-360M Intermediate Checkpoints
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We are releasing an intermediate checkpoint of SmolLM2 to enable further research on mechanistic interpretability and learning dynamics. This repo contains the checkpoint every 160000 steps which correspond to ~250B tokens.
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## How to Load a Checkpoint
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```python
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