This model can be easily integrated into your NLP pipeline for tasks such as text classification, sentiment analysis, entity recognition, and more. Here's a simple example to get you started:
from sentence_transformers import SentenceTransformer
from sentence_transformers.util import cos_sim
model = SentenceTransformer(
'fine-tuned/jinaai_jina-embeddings-v2-base-code-stackoverflow',
trust_remote_code=True
)
embeddings = model.encode([
'first text to embed',
'second text to embed'
])
print(cos_sim(embeddings[0], embeddings[1]))
Runs of fine-tuned jinaai_jina-embeddings-v2-base-code-stackoverflow on huggingface.co
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0
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0
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jinaai_jina-embeddings-v2-base-code-stackoverflow is an open source model from GitHub that offers a free installation service, and any user can find jinaai_jina-embeddings-v2-base-code-stackoverflow on GitHub to install. At the same time, huggingface.co provides the effect of jinaai_jina-embeddings-v2-base-code-stackoverflow install, users can directly use jinaai_jina-embeddings-v2-base-code-stackoverflow installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
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