hf_ez_sentence_similarity | R Documentation |
Calculate the semantic similarity between one text and a list of other sentences by comparing their embeddings.
hf_ez_sentence_similarity( model_id = "sentence-transformers/all-MiniLM-L6-v2", use_api = FALSE )
model_id |
A model_id. Run hf_search_models(...) for model_ids. Defaults to 'sentence-transformers/all-MiniLM-L6-v2'. |
use_api |
Whether to use the Inference API to run the model (TRUE) or download and run the model locally (FALSE). Defaults to FALSE |
A sentence similarity object
https://huggingface.co/docs/api-inference/detailed_parameters#sentence-similarity-task
## Not run: # Load the default model and use local inference ez <- hf_ez_sentence_similarity() ez$infer(source_sentence = 'That is a happy person', sentences = list('That is a happy dog', 'That is a very happy person", "Today is a sunny day')) # Use the api for inference. ez <- hf_ez_sentence_similarity(use_api = TRUE) ez$infer(source_sentence = 'That is a happy person', sentences = list('That is a happy dog', 'That is a very happy person', 'Today is a sunny day')) ## End(Not run)
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