Instructions to use NeoCodes-dev/smol-course-SmolVLM2-2.2B-Instruct-trl-sft-ChartQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeoCodes-dev/smol-course-SmolVLM2-2.2B-Instruct-trl-sft-ChartQA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NeoCodes-dev/smol-course-SmolVLM2-2.2B-Instruct-trl-sft-ChartQA", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 491b0da235720cbf9da5b05516f1fb9b7a03ec3915571817438dacd2c34f45b7
- Size of remote file:
- 6.29 kB
- SHA256:
- aadbab38ab3b17bf87eccf55c64675457cc6301b5f82781359e1688844cbe3a0
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