Instructions to use voidism/diffcse-roberta-base-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidism/diffcse-roberta-base-sts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="voidism/diffcse-roberta-base-sts")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("voidism/diffcse-roberta-base-sts") model = AutoModel.from_pretrained("voidism/diffcse-roberta-base-sts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from voidism/diffcse-roberta-base-sts: direct link, hf CLI and curl.
- Browser
- Download file 1.49 GB
-
https://huggingface.co/voidism/diffcse-roberta-base-sts/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://voidism/diffcse-roberta-base-sts/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/voidism/diffcse-roberta-base-sts/resolve/main/pytorch_model.bin
1.49 GB
- Xet hash:
- 29fcfb52bd211e7528e6f35927dab13f4ad1a41b6f905e6282f410ccd8570c34
- Size of remote file:
- 1.49 GB
- SHA256:
- b792aba0b664d672181d12edb092a4e53501e5197f331ff3c97ceed4fed45320
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