Instructions to use Anandi99/Wright with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Anandi99/Wright with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Anandi99/Wright") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
metadata
license: bigscience-bloom-rail-1.0
datasets:
- burberg92/resume_summary
- cnamuangtoun/resume-job-description-fit
- Sachinkelenjaguri/Resume_dataset
- bhuvanmdev/resume_parser
language:
- en
base_model:
- openai-community/gpt2
pipeline_tag: text-generation
library_name: sentence-transformers