Instructions to use vikenkd/vqa-llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikenkd/vqa-llm with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vikenkd/vqa-llm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload config.json
Browse files- config.json +16 -0
config.json
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{
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"batchnorm_layer": 256,
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"dropout": 0.3,
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"embed_dim": 512,
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"expansion_factor": 4,
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"hidden_dim": 128,
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"input_layer": 128,
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"model_type": "bert",
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"n_dense": 6,
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"n_heads": 8,
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"num_layers": 2,
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"output_classification": 3454,
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"output_layer": 256,
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"transformers_version": "4.41.2",
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"w_s": 0.5
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}
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