Feature Extraction
Transformers
Safetensors
bert
code
r6
repo-similarity
repositories
repository-library
research-library
t4_repo
text-embeddings-inference
Instructions to use PeytonT/repo-similarity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeytonT/repo-similarity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="PeytonT/repo-similarity")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("PeytonT/repo-similarity") model = AutoModel.from_pretrained("PeytonT/repo-similarity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84f2b665ffdf6fcb5c081f739a3386c025a627cbd0be8c4e2e1082cf578e5166
- Size of remote file:
- 5.84 kB
- SHA256:
- d0fff6c816cd397b497249363b0cee706a33da2d22a8e32c6dd5646ef826121d
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