Instructions to use sameddallaa/clip-projector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sameddallaa/clip-projector with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import HuggingFaceProjector model = HuggingFaceProjector.from_pretrained("sameddallaa/clip-projector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sameddallaa/clip-projector: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/sameddallaa/clip-projector/resolve/main/tokenizer.json
- Command line
-
hf download hf://sameddallaa/clip-projector/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sameddallaa/clip-projector/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 9dcc3db52b5ea4501596b63246462c6516791df3d4c32bd6efdbf296a5dc25dc
- Size of remote file:
- 11.4 MB
- SHA256:
- 33767534f199c0d0de4342ce18a61cb8c49b4a8907f53730ef2ac47789bfbe88
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