Video-Text-to-Text
Transformers
Safetensors
English
apollo
text-generation
video
video-understanding
vision
multimodal
conversational
custom_code
instruction-tuning
Instructions to use Sri-Vigneshwar-DJ/Apollo-LMMs-Apollo-1.5B-t32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sri-Vigneshwar-DJ/Apollo-LMMs-Apollo-1.5B-t32 with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Sri-Vigneshwar-DJ/Apollo-LMMs-Apollo-1.5B-t32", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| #from transformers import PretrainedConfig | |
| from transformers import PretrainedConfig | |
| class ApolloConfig(PretrainedConfig): | |
| model_type = "apollo" | |
| def __init__( | |
| self, | |
| llm_cfg=None, | |
| vision_tower_cfg=None, | |
| mm_connector_cfg=None, | |
| architectures=None, | |
| resume_path=None, | |
| image_aspect_ratio=None, | |
| num_video_frames=None, | |
| mm_vision_select_layer=None, | |
| mm_vision_select_feature=None, | |
| use_mm_start_end=False, | |
| use_mm_patch_token=True, | |
| mm_connector_lr=None, | |
| vision_resolution=None, | |
| interpolate_mode=None, | |
| clip_duration=None, | |
| vocab_size=None, | |
| auto_map=None, | |
| **kwargs | |
| ): | |
| super().__init__(**kwargs) | |
| self.architectures = architectures | |
| self.llm_cfg = llm_cfg | |
| self.vision_tower_cfg = vision_tower_cfg | |
| self.mm_connector_cfg = mm_connector_cfg | |
| self.resume_path = resume_path | |
| self.image_aspect_ratio = image_aspect_ratio | |
| self.num_video_frames = num_video_frames | |
| self.mm_vision_select_layer = mm_vision_select_layer | |
| self.mm_vision_select_feature = mm_vision_select_feature | |
| self.use_mm_start_end = use_mm_start_end | |
| self.use_mm_patch_token = use_mm_patch_token | |
| self.mm_connector_lr = mm_connector_lr | |
| self.vision_resolution = vision_resolution | |
| self.interpolate_mode = interpolate_mode | |
| self.clip_duration = clip_duration | |
| self.vocab_size=vocab_size | |
| self.auto_map=auto_map | |