Instructions to use FFI/SimCSE-NB-BERT-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FFI/SimCSE-NB-BERT-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FFI/SimCSE-NB-BERT-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from FFI/SimCSE-NB-BERT-large: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/FFI/SimCSE-NB-BERT-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://FFI/SimCSE-NB-BERT-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/FFI/SimCSE-NB-BERT-large/resolve/main/pytorch_model.bin
1.42 GB
- Xet hash:
- 14efd5e55bf896e9b38d51ca7dde56bfbc73cb834a7fa46f1c236e91aaa2c684
- Size of remote file:
- 1.42 GB
- SHA256:
- 361e26099fa0989698c623b2a8df8ae5339634d3a21e1f325f23f0ec5ad21268
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