Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
job-matching
skill-similarity
embeddings
esco
text-embeddings-inference
Instructions to use alvperez/skill-sim-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alvperez/skill-sim-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alvperez/skill-sim-model") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
training scripts
#1
by rahmadaix - opened
Hi, thanks a lot for releasing this great model! 🙌
I noticed in the README that you mention:
Full code in /training_scripts
…but the folder doesn’t seem to be included in the repo.
Would it be possible for you to share the training scripts you used for fine-tuning on ESCO (e.g., data prep, hard negative mining, and the Sentence-Transformers training loop)?