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")# 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
- Xet hash:
- b7c55712cffad0ada43599b33b392ddd5b1c7ebccf0a2fed92c1560aec441e04
- Size of remote file:
- 1.49 GB
- SHA256:
- 417f74b7d7cc9fac6da70edf6154bbad8fa522d691f52ec4d1a1713795a6cbcf
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