Instructions to use M-CLIP/LABSE-Vit-L-14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M-CLIP/LABSE-Vit-L-14 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("M-CLIP/LABSE-Vit-L-14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from M-CLIP/LABSE-Vit-L-14: direct link, hf CLI and curl.
- Browser
- Download file 1.89 GB
-
https://huggingface.co/M-CLIP/LABSE-Vit-L-14/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://M-CLIP/LABSE-Vit-L-14/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/M-CLIP/LABSE-Vit-L-14/resolve/main/pytorch_model.bin
1.89 GB
- Xet hash:
- 14d26f7018a9cc51bbd6d86648390617896a120fecfe3883685692927cdd6199
- Size of remote file:
- 1.89 GB
- SHA256:
- bc4c3bb65e3587802441b6ab2beca390db4f049cb1419e71be652c665834f1ca
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