Instructions to use BridgeTower/bridgetower-base-itm-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BridgeTower/bridgetower-base-itm-mlm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BridgeTower/bridgetower-base-itm-mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from BridgeTower/bridgetower-base-itm-mlm: direct link, hf CLI and curl.
- Browser
- Download file 1.56 GB
-
https://huggingface.co/BridgeTower/bridgetower-base-itm-mlm/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://BridgeTower/bridgetower-base-itm-mlm@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BridgeTower/bridgetower-base-itm-mlm/resolve/refs%2Fpr%2F1/pytorch_model.bin
1.56 GB
- Xet hash:
- 2d970e5cc469018948ea1bcd2c7bc2154f3804fbea44616840ed6d2777a20ea3
- Size of remote file:
- 1.56 GB
- SHA256:
- 3642aca08ae1693dd3682e7c5feaab0b812e4973ee2c8f9ed851f51667216fd5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.