Instructions to use dongjicheng/roformer-tiny-matcher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dongjicheng/roformer-tiny-matcher with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dongjicheng/roformer-tiny-matcher")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dongjicheng/roformer-tiny-matcher") model = AutoModel.from_pretrained("dongjicheng/roformer-tiny-matcher", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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from sentence_transformers import SentenceTransformer
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model = SentenceTransformer('dongjicheng/
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sentences = [
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from sentence_transformers import SentenceTransformer
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model = SentenceTransformer('dongjicheng/roformer-tiny-matcher')
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sentences = [
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