Transformers
Safetensors
fga_avsd_generation
audio-visual-scene-aware-dialog
video-question-answering
factor-graph-attention
multimodal
Instructions to use Idan/fga-avsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Idan/fga-avsd with Transformers:
# Load model directly from transformers import AVSDForResponseGeneration model = AVSDForResponseGeneration.from_pretrained("Idan/fga-avsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 797 Bytes
c0105de 37d4ab6 c0105de 37d4ab6 c0105de | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | {
"architectures": [
"AVSDForResponseGeneration"
],
"audio_dim": 128,
"decoder_layers": 1,
"decoder_proj": 1024,
"dropout": 0.5,
"dtype": "float32",
"embed_size": 128,
"eos_token_id": 1,
"frame_dim": 512,
"hidden_size": 256,
"history_dim": 128,
"history_hidden": 128,
"history_pair_layers": 1,
"history_word_layers": 2,
"max_answer_length": 20,
"max_question_length": 10,
"model_type": "fga_avsd_generation",
"num_audio_steps": 32,
"num_frame_regions": 49,
"num_video_frames": 0,
"num_video_regions": 49,
"num_video_streams": 4,
"pad_token_id": 0,
"question_dim": 256,
"question_layers": 1,
"tie_embeddings": false,
"transformers_version": "5.14.1",
"use_cache": false,
"use_sizes": false,
"video_dim": 512,
"vocab_size": 5645
}
|