Sentence Similarity
sentence-transformers
PyTorch
mpnet
feature-extraction
text-embeddings-inference
Instructions to use mitra-mir/setfit_model_Ireland_binary_label1_epochs2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use mitra-mir/setfit_model_Ireland_binary_label1_epochs2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mitra-mir/setfit_model_Ireland_binary_label1_epochs2") 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:
- 477b4d00ca8df170c3752f16f3ed18c9244553b7fa32e218392cd2802d00fee2
- Size of remote file:
- 438 MB
- SHA256:
- a7f4775e59d1851c366eb2717b2f1496a089939c4b5b71907c01ee48ef90446f
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