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-7B-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-7B-t32 with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Sri-Vigneshwar-DJ/Apollo-LMMs-Apollo-7B-t32", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download configuration.json from Sri-Vigneshwar-DJ/Apollo-LMMs-Apollo-7B-t32: direct link, hf CLI and curl.
- Browser
- Download file 76 Bytes
-
https://huggingface.co/Sri-Vigneshwar-DJ/Apollo-LMMs-Apollo-7B-t32/resolve/main/configuration.json
- Command line
-
hf download hf://Sri-Vigneshwar-DJ/Apollo-LMMs-Apollo-7B-t32/configuration.json
-
curl -L -o configuration.json https://huggingface.co/Sri-Vigneshwar-DJ/Apollo-LMMs-Apollo-7B-t32/resolve/main/configuration.json
76 Bytes
| {"framework": "pytorch", "task": "video-text-to-text", "allow_remote": true} |