Instructions to use Yaafer/HF_smolvlm_chart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yaafer/HF_smolvlm_chart with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Yaafer/HF_smolvlm_chart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: Yaafer
- License: apache-2.0
- Finetuned from model : HuggingFaceTB/SmolVLM-Instruct
This idefics3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for Yaafer/HF_smolvlm_chart
Base model
HuggingFaceTB/SmolLM2-1.7B Quantized
HuggingFaceTB/SmolLM2-1.7B-Instruct Quantized
HuggingFaceTB/SmolVLM-Instruct