Instructions to use luohy/bert-simcse-large-sc-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luohy/bert-simcse-large-sc-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="luohy/bert-simcse-large-sc-3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("luohy/bert-simcse-large-sc-3") model = AutoModelForSequenceClassification.from_pretrained("luohy/bert-simcse-large-sc-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd7909a0f52d7243fb40ab821343a926a4bc3ed6d43894906ce16a187a509767
- Size of remote file:
- 1.34 GB
- SHA256:
- 6c2bd776bf9ebd07e42af0c33a4a9cda0e83681cbceea2a2d98c2fa3c325bc44
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