Instructions to use luohy/roberta-simcse-large-sc-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luohy/roberta-simcse-large-sc-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="luohy/roberta-simcse-large-sc-3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("luohy/roberta-simcse-large-sc-3") model = AutoModelForSequenceClassification.from_pretrained("luohy/roberta-simcse-large-sc-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6128ff1fe6c9b1f0e3f8055c8f1556d708f0a616fb825c59a2b5d28fb418c51e
- Size of remote file:
- 1.42 GB
- SHA256:
- fec04891c235481ee2aee7faa044eadc677829aa18444e9d9d8a3c5b85a1770a
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