metadata

license: apache-2.0
datasets:
  - TechWolf/anonymous-working-histories
language:
  - en
base_model:
  - sentence-transformers/all-mpnet-base-v2

career-path-representation-mpnet-decorte-esco

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: TechWolf/anonymous-working-histories
Tasks: Sentence Embeddings / Text Similarity
License: Apache-2.0

Usage

from transformers import AutoModel, AutoTokenizer

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