Instructions to use BridgeTower/bridgetower-large-itm-mlm-itc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BridgeTower/bridgetower-large-itm-mlm-itc with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BridgeTower/bridgetower-large-itm-mlm-itc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from BridgeTower/bridgetower-large-itm-mlm-itc: direct link, hf CLI and curl.
- Browser
- Download file 3.68 GB
-
https://huggingface.co/BridgeTower/bridgetower-large-itm-mlm-itc/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://BridgeTower/bridgetower-large-itm-mlm-itc/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BridgeTower/bridgetower-large-itm-mlm-itc/resolve/main/pytorch_model.bin
3.68 GB
- Xet hash:
- ead3e1c7a9fa91c5dfcdb0c91ab10f9d6620e777d270beac480df54727772fe8
- Size of remote file:
- 3.68 GB
- SHA256:
- deecb9697e35f9f78014f5a11ea671ebd01a2ffdb56082803079c1cd9369866f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.