Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
text-embeddings-inference
Instructions to use TechWolf/ConTeXT-Skill-Extraction-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use TechWolf/ConTeXT-Skill-Extraction-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("TechWolf/ConTeXT-Skill-Extraction-base") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Inference
- Notebooks
- Google Colab
- Kaggle
Delete 1_SmartTokenPooling
Browse files
1_SmartTokenPooling/config.json
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{"word_embedding_dimension": 768, "window_size": -1}
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1_SmartTokenPooling/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9bbcbf73561f6bc5d0a17ea6a2081feed2d1304e87602d8c502d9a5c4bd85576
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size 16
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