[Draft] Experiment using api-inference-community for inference definitions #82
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osanseviero
commented
Aug 13, 2024
| embeddings2 = self.model.encode(inputs["sentences"], convert_to_tensor=True) | ||
| similarities = util.pytorch_cos_sim(embeddings1, embeddings2).tolist()[0] | ||
| return {"similarities": similarities} | ||
| return {"similarities": self.model(inputs)} |
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I'm doing this for backwards compatibility, but note that this is inconsistent with the other APIs and https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/src/tasks/sentence-similarity/inference.ts
osanseviero
commented
Aug 13, 2024
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| SENTENCE_TRANSFORMERS_TASKS = { | ||
| "sentence-similarity": SentenceSimilarityPipeline, | ||
| "sentence-embeddings": SentenceEmbeddingPipeline, | ||
| "sentence-ranking": RankingPipeline, | ||
| #"sentence-ranking": RankingPipeline, # To be implemented |
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removing for now as there's not one
osanseviero
commented
Aug 13, 2024
| ["Lets create an embedding", "Lets create an embedding"], | ||
| ) | ||
| assert isinstance(res["scores"], float) | ||
| #@require_torch |
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Re: https://huggingface.slack.com/archives/C069KSP486B/p1719846796695499
Community counterpart huggingface/api-inference-community#445
A challenge will be installing both
sentence-transformersanddiffusersdependencies fromapi-inference-communitywhich likely mismatch.