Instructions to use eunkey/roberta-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunkey/roberta-sts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eunkey/roberta-sts")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eunkey/roberta-sts") model = AutoModelForSequenceClassification.from_pretrained("eunkey/roberta-sts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65059edd84a2448e301b55cb963684f046477cfaefa7546c1a0db46bd2d17178
- Size of remote file:
- 1.35 GB
- SHA256:
- 483b2fea9def92579154244da24b386ac0776ec0ec57e5de5494e3292cff9e61
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