| language: fa | |
| tags: | |
| - persian | |
| - job-embedding | |
| - ISCO | |
| datasets: | |
| - text-classification | |
| - text-similarity | |
| - triplet | |
| model_name: tuning_E5_embedding_3m | |
| library_name: sentence-transformers | |
| license: mit | |
| widget: | |
| - text: "Your sample text here" | |
| # 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 | |