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
Pin usage example to the verified model commit
Browse files
README.md
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@@ -35,7 +35,7 @@ model revision and uses only safetensors weights.
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from huggingface_hub import HfApi
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from sentence_transformers import SentenceTransformer
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revision =
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model = SentenceTransformer(
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"LevelCapTech/failurelens",
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revision=revision,
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from huggingface_hub import HfApi
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from sentence_transformers import SentenceTransformer
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revision = "ec8ffde17b5cf5a5bf6f206864fdbe985f373440"
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model = SentenceTransformer(
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"LevelCapTech/failurelens",
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revision=revision,
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