Instructions to use Idan/fga-vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Idan/fga-vqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="Idan/fga-vqa")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Idan/fga-vqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 502 Bytes
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"architectures": [
"OpenEndedVQAModel"
],
"classifier_dropout": 0.3,
"dropout": 0.5,
"dtype": "float32",
"gated_tanh": true,
"hidden_size": 512,
"image_feature_dim": 2048,
"loss_type": "soft_ce",
"mask_padding": true,
"max_question_length": 15,
"model_type": "open_ended_vqa",
"num_answers": 3001,
"num_regions": 36,
"pad_token_id": 0,
"pooling_dim": 16000,
"transformers_version": "5.14.1",
"use_cache": false,
"vocab_size": 8597,
"word_embed_dim": 512
}
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