Sentence Similarity
sentence-transformers
Safetensors
English
mpnet
feature-extraction
resume-matching
job-matching
matryoshka
text-embeddings-inference
Instructions to use shankerram3/resumator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use shankerram3/resumator with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("shankerram3/resumator") sentences = [ "Name: Jane Doe\nTitles: Software Developer, Software Engineer\nSkills: Python, React, PostgreSQL, TypeScript\nExperience: 4 years\nResume: Full-stack engineer with 4 years building web applications using Python and React. Experience with PostgreSQL, REST APIs, and cloud deployment.", "Title: Senior Software Engineer\nCompany: TechCorp\nDescription: Looking for full-stack engineer with Python and React experience. Must have 3+ years building web applications.", "Title: Data Scientist\nCompany: DataCo\nDescription: Seeking data scientist with deep learning experience. PhD preferred. Must have publications in top ML conferences.", "Title: Truck Driver\nCompany: FreightCo\nDescription: CDL required, long-haul routes across the Midwest. Clean driving record mandatory." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "do_lower_case": true, | |
| "eos_token": "</s>", | |
| "is_local": false, | |
| "mask_token": "<mask>", | |
| "max_length": 128, | |
| "model_max_length": 384, | |
| "pad_to_multiple_of": null, | |
| "pad_token": "<pad>", | |
| "pad_token_type_id": 0, | |
| "padding_side": "right", | |
| "sep_token": "</s>", | |
| "stride": 0, | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "MPNetTokenizer", | |
| "truncation_side": "right", | |
| "truncation_strategy": "longest_first", | |
| "unk_token": "[UNK]" | |
| } | |