Instructions to use deepset/gbert-large-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/gbert-large-sts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deepset/gbert-large-sts")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("deepset/gbert-large-sts") model = AutoModelForSequenceClassification.from_pretrained("deepset/gbert-large-sts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (01c48874d897d30812fcfb119e9b29d41cab9846) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>a019485
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initial commit
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