README.md

metadata

license: apache-2.0
datasets:
  - ElenaSenger/Karrierewege
language:
  - en
base_model:
  - sentence-transformers/all-mpnet-base-v2

career-path-representation-mpnet-karrierewege

This is a fine-tuned version of sentence-transformers/all-mpnet-base-v2 on custom data. For fine-tuning details, preprocessing code, and how to use this model for career path prediction, visit our GitHub repository: https://github.com/elenasenger/karrierewege

Model Details

• Base Model: sentence-transformers/all-mpnet-base-v2
• Fine-tuned on standardized: ElenaSenger/Karrierewege
• Tasks: Sentence Embeddings / Text Similarity
• License: Apache-2.0

Usage

from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("ElenaSenger/career-path-representation-mpnet-karrierewege")
tokenizer = AutoTokenizer.from_pretrained("ElenaSenger/career-path-representation-mpnet-karrierewege")