Instructions to use rovargasc/SentenceBertV0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rovargasc/SentenceBertV0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="rovargasc/SentenceBertV0")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rovargasc/SentenceBertV0") model = AutoModel.from_pretrained("rovargasc/SentenceBertV0") - Notebooks
- Google Colab
- Kaggle
Upload bert-sts-StudentV0.pt
Browse files- bert-sts-StudentV0.pt +3 -0
bert-sts-StudentV0.pt
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version https://git-lfs.github.com/spec/v1
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