Instructions to use HuggingFaceTB/SmolLM3-3B-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/SmolLM3-3B-checkpoints with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HuggingFaceTB/SmolLM3-3B-checkpoints", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Remove `auto_map` param (#1)
Browse files- Remove `auto_map` param (88b8b918dc29459aaafb97d96cd2a1c47d507db0)
- config.json +0 -1
config.json
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@@ -4,7 +4,6 @@
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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-
"auto_map": null,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"hidden_act": "silu",
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"hidden_act": "silu",
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