Instructions to use AndrewOgn/IntelasMatcher_homecase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use AndrewOgn/IntelasMatcher_homecase with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AndrewOgn/IntelasMatcher_homecase") 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] - Notebooks
- Google Colab
- Kaggle
Download config_sentence_transformers.json from AndrewOgn/IntelasMatcher_homecase: direct link, hf CLI and curl.
- Browser
- Download file 116 Bytes
-
https://huggingface.co/AndrewOgn/IntelasMatcher_homecase/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://AndrewOgn/IntelasMatcher_homecase/config_sentence_transformers.json
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curl -L -o config_sentence_transformers.json https://huggingface.co/AndrewOgn/IntelasMatcher_homecase/resolve/main/config_sentence_transformers.json
116 Bytes
| { | |
| "__version__": { | |
| "sentence_transformers": "2.0.0", | |
| "transformers": "4.6.1", | |
| "pytorch": "1.8.1" | |
| } | |
| } |