Video-Text-to-Text
Transformers
Safetensors
English
audiovisualflamingo
text-generation
audio
video
image
audio-visual
multimodal
reasoning
video understanding
long-video
audio understanding
ASR
timestamp-grounding
instruction-tuned
dynamic-s2
CRTE
TAVIT
Instructions to use chibubu/bingo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chibubu/bingo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("chibubu/bingo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,239 Bytes
fc059ce | 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 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | {
"audio_chunk_length": 600,
"audio_hop_length": 160,
"audio_sampling_rate": 16000,
"feature_extractor": {
"chunk_length": 600,
"dither": 0.0,
"feature_extractor_type": "WhisperFeatureExtractor",
"feature_size": 128,
"hop_length": 160,
"n_fft": 400,
"n_samples": 9600000,
"nb_max_frames": 60000,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 16000
},
"image_aspect_ratio": "dynamic_s2",
"image_processor": {
"do_convert_rgb": null,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "SiglipImageProcessor",
"image_std": [
0.5,
0.5,
0.5
],
"resample": 3,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 448,
"width": 448
}
},
"interleaved_video_segment_duration": 30,
"interleaved_vis_aud_in_video": true,
"load_audio_in_video": true,
"max_tiles": 12,
"mm_use_bos_eos_tokens": true,
"num_video_frames": 128,
"padding_side": "left",
"processor_class": "AudioVisualFlamingoProcessor",
"s2_scales": [
448,
896,
1344
]
}
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