Feature Extraction
Transformers
Safetensors
bert
code
embeddings
r1
repo-embedding
repositories
repository-library
research-library
t4_repo
text-embeddings-inference
Instructions to use PeytonT/repo-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeytonT/repo-embedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="PeytonT/repo-embedding")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("PeytonT/repo-embedding") model = AutoModel.from_pretrained("PeytonT/repo-embedding") - Notebooks
- Google Colab
- Kaggle
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