Video-Text-to-Text
Transformers
Safetensors
qwen3_vl
image-text-to-text
llama-factory
full
Generated from Trainer
video-language-model
video-captioning
Instructions to use chancharikm/CHAI_SFT_model_8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chancharikm/CHAI_SFT_model_8b with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("chancharikm/CHAI_SFT_model_8b") model = AutoModelForImageTextToText.from_pretrained("chancharikm/CHAI_SFT_model_8b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5996a6205fb70fab5dffb9e3df5a882d6f2a3f73ab9379e4a707e84d6c3b20f8
- Size of remote file:
- 8.08 kB
- SHA256:
- a508b99582e859b739fe2b1a52860062d5b8cc7136edd8d8bbf6d779fc113f6f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.