Instructions to use gdevakumar/level_one_caption_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gdevakumar/level_one_caption_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gdevakumar/level_one_caption_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from gdevakumar/level_one_caption_model: direct link, hf CLI and curl.
- Browser
- Download file 269 MB
-
https://huggingface.co/gdevakumar/level_one_caption_model/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://gdevakumar/level_one_caption_model/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/gdevakumar/level_one_caption_model/resolve/main/adapter_model.safetensors
269 MB
- Xet hash:
- f766395bca2a7673ba42a3d2cf6553843c3b9e4be526e81a9ce1b7819c3f8d03
- Size of remote file:
- 269 MB
- SHA256:
- e1daf85a7bbbfdef8a3df46dd42cac7ff49e8e403d22ed0895545e6c8ecbbd23
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