Persian Job Title Embedding
This model predicts ISCO codes for Persian job titles using embeddings. It includes three datasets:
- Text Classification
- Text Similarity
- Positive and Negative Texts
Model Details
- Language: Persian (Farsi)
- Model Type: STS (Semantic Textual Similarity)
- Framework: Hugging Face Sentence Transformers
- License: MIT
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from sentence_transformers import SentenceTransformer model = SentenceTransformer("razzaghi/tuning_intfloat_E5_small_encode_3m") 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]