Video-Text-to-Text
Transformers
Safetensors
English
gemma4
image-text-to-text
video-captioning
multimodal
gemma
parakeet
Instructions to use SulphurAI/sulphur-caption with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SulphurAI/sulphur-caption with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("SulphurAI/sulphur-caption") model = AutoModelForMultimodalLM.from_pretrained("SulphurAI/sulphur-caption", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 392 Bytes
7011765 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"blank_token": "<blank>",
"feature_extractor": {
"feature_extractor_type": "ParakeetFeatureExtractor",
"feature_size": 128,
"hop_length": 160,
"n_fft": 512,
"padding_side": "right",
"padding_value": 0.0,
"preemphasis": 0.97,
"return_attention_mask": true,
"sampling_rate": 16000,
"win_length": 400
},
"processor_class": "ParakeetProcessor"
}
|