Sentence Similarity
sentence-transformers
PyTorch
mpnet
feature-extraction
text-embeddings-inference
Instructions to use marianodo/MultipleNegativesRankingLoss-20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use marianodo/MultipleNegativesRankingLoss-20 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("marianodo/MultipleNegativesRankingLoss-20") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Pushing label per job title
Browse filesModel trained with job title and label
- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d45695f495942cd60fd733c45d178213bcfa4a7a6fc7cecd068871f3c2b6b763
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size 438016493
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