Instructions to use CocoRoF/ModernBERT_SimCSE_v02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CocoRoF/ModernBERT_SimCSE_v02 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, ModernBERTSimCSE tokenizer = AutoTokenizer.from_pretrained("CocoRoF/ModernBERT_SimCSE_v02") model = ModernBERTSimCSE.from_pretrained("CocoRoF/ModernBERT_SimCSE_v02", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from CocoRoF/ModernBERT_SimCSE_v02: direct link, hf CLI and curl.
- Browser
- Download file 1.48 GB
-
https://huggingface.co/CocoRoF/ModernBERT_SimCSE_v02/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CocoRoF/ModernBERT_SimCSE_v02/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CocoRoF/ModernBERT_SimCSE_v02/resolve/main/last-checkpoint/optimizer.pt
1.48 GB
- Xet hash:
- d591bfa5d59fa3f4f6967bf081c8778902f7097252248d00cb932a6c5bcf5370
- Size of remote file:
- 1.48 GB
- SHA256:
- 7d1ed18d6fe47a085d91a34b52f0b0e9d63181b84ee4c405b93d5c8e09294fad
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