Instructions to use MMInstruction/YingVLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MMInstruction/YingVLM with Transformers:
# Load model directly from transformers import AutoProcessor, VLM processor = AutoProcessor.from_pretrained("MMInstruction/YingVLM") model = VLM.from_pretrained("MMInstruction/YingVLM") - Notebooks
- Google Colab
- Kaggle
File size: 676 Bytes
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"eos_token": {
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},
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"sp_model_kwargs": {},
"tokenizer_class": "LlamaTokenizer",
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