Instructions to use internlm/Spark-VL-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internlm/Spark-VL-7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("internlm/Spark-VL-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b32ce1aab54ac6a3438c07eaaabb251ef2ce2d5973f3c9d70f3021a295d06d6
- Size of remote file:
- 290 Bytes
- SHA256:
- d04905081373c40b5cf0dc0ab432c879b8312bea794b1fd14c4c8828054d1409
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.