Instructions to use zakerytclarke/teapot1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zakerytclarke/teapot1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zakerytclarke/teapot1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
teapot1
Checkpoints from the from-scratch 135M run teapot-SmolLM2-135M-2191bc.
| Folder | What it is |
|---|---|
pretrain_3000238080tok |
Base model at 3 billion pretrain tokens, before supervised training. |
pretrain_3000238080tok_sft |
Supervised copy of that base. This is the one that answers SQuAD. |
Load with trust_remote_code=True and subfolder set to one of those folders. reasoning_effort is 1 during the saved evals. Pass a higher value to generate to run more decoder passes.
Inference Providers NEW
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