Instructions to use Shunchang/SmolVLM-Base-condition-condition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shunchang/SmolVLM-Base-condition-condition with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Shunchang/SmolVLM-Base-condition-condition", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4dd8824caddad8996709618a8afe6249b86b93d412c02d4d3044623c51fd0852
- Size of remote file:
- 5.37 kB
- SHA256:
- 682550c6a3cf9145cd5850e4c53fe725aac6d385b86ad88312434349bb79edc7
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