Sentence Similarity
sentence-transformers
PyTorch
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use another-symato/finetune_bge_m3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use another-symato/finetune_bge_m3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("another-symato/finetune_bge_m3") 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
- Xet hash:
- 2d8cccdb78c0b577b2fb9c8f82ad9c6a7bac393e7b12118877ba4235688443e9
- Size of remote file:
- 2.27 GB
- SHA256:
- 38bc90348fc2fdfe761b3dd65440844861de26aa3123dd3afe2acc8d6dddcfc9
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