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
| { | |
| "attention_chunk_size": 12, | |
| "attention_context_left": 13, | |
| "attention_context_right": 0, | |
| "attention_invalid_logits_value": -1000000000.0, | |
| "attention_logit_cap": 50.0, | |
| "conv_kernel_size": 5, | |
| "dtype": "bfloat16", | |
| "gradient_clipping": 10000000000.0, | |
| "hidden_act": "silu", | |
| "hidden_size": 1024, | |
| "initializer_range": 0.02, | |
| "model_type": "gemma4_audio", | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 12, | |
| "output_proj_dims": 1536, | |
| "residual_weight": 0.5, | |
| "rms_norm_eps": 1e-06, | |
| "subsampling_conv_channels": [ | |
| 128, | |
| 32 | |
| ], | |
| "transformers_version": "5.12.1", | |
| "use_clipped_linears": true | |
| } | |