Instructions to use CloveAI/clov-embed-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use CloveAI/clov-embed-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("CloveAI/clov-embed-v2") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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from huggingface_hub import hf_hub_download
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# ββ Load βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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tokenizer = AutoTokenizer.from_pretrained("
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onnx_path = hf_hub_download("
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session = ort.InferenceSession(onnx_path, providers=["CPUExecutionProvider"])
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# ββ Encode βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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from huggingface_hub import hf_hub_download
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# ββ Load βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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tokenizer = AutoTokenizer.from_pretrained("CloveAI/clov-embed-v2", subfolder="tokenizer")
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onnx_path = hf_hub_download("CloveAI/clov-embed-v2", "onnx/biencoder_rope.onnx")
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session = ort.InferenceSession(onnx_path, providers=["CPUExecutionProvider"])
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# ββ Encode βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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