Feature Extraction
sentence-transformers
Safetensors
English
nomic_bert
python
fault-localization
code-retrieval
experimental
custom_code
text-embeddings-inference
Instructions to use LevelCapTech/failurelens with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LevelCapTech/failurelens with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LevelCapTech/failurelens", trust_remote_code=True) 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
Download model.safetensors from LevelCapTech/failurelens: direct link, hf CLI and curl.
- Browser
- Download file 547 MB
-
https://huggingface.co/LevelCapTech/failurelens/resolve/main/model.safetensors
- Command line
-
hf download hf://LevelCapTech/failurelens/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/LevelCapTech/failurelens/resolve/main/model.safetensors
547 MB
- Xet hash:
- 2fb33c2d95d105e5b4b5f340b3e2276acb9446f0bf5215f3d8f8132e9ca820ef
- Size of remote file:
- 547 MB
- SHA256:
- 8e8fb971f8c1dce22ae29ea4f682cb8387790ad608e06d3800b62d3413a0a9e4
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