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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("internlm/Spark-VL-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from internlm/Spark-VL-7B: direct link, hf CLI and curl.
- Browser
- Download file 763 Bytes
-
https://huggingface.co/internlm/Spark-VL-7B/resolve/refs%2Fpr%2F1/preprocessor_config.json
- Command line
-
hf download hf://internlm/Spark-VL-7B@refs/pr/1/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/internlm/Spark-VL-7B/resolve/refs%2Fpr%2F1/preprocessor_config.json
763 Bytes
- Xet hash:
- e768415f564da6386666e119c5a44eed5226f6ae6745baf8d12a2313cbf23bd5
- Size of remote file:
- 763 Bytes
- SHA256:
- c1c9d43adb750cc52f317b130734fefa8edba78a5814066f6c10ecc1826e98af
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