Sentence Similarity
sentence-transformers
Safetensors
Tamil
English
bert
feature-extraction
tanglish
code-mixed
tamil
indian-nlp
embeddings
Eval Results (legacy)
text-embeddings-inference
Instructions to use vishnu-n/Morgan-Tanglish-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use vishnu-n/Morgan-Tanglish-v7 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vishnu-n/Morgan-Tanglish-v7") 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

- Xet hash:
- 4be8ac74377e98cb98f2f14eadf7cfda2c2927fd29e2e9f46d0aa6a3e9371f71
- Size of remote file:
- 105 kB
- SHA256:
- 8da63fd3fc5090377f225ed2b25eae576823adcacdffb8451f2bd3657e9d7816
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