multilingual-e5-large-instruct-onnx

README.md

@@ -1,35 +0,0 @@
----
-license: apache-2.0
-pipeline_tag: sentence-similarity
----
-
-ONNX port of [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) for text classification and similarity searches.
-
-### Usage
-
-Here's an example of performing inference using the model with [FastEmbed](https://github.com/qdrant/fastembed).
-
-```py
-from fastembed import TextEmbedding
-
-documents = [
-    "You should stay, study and sprint.",
-    "History can only prepare us to be surprised yet again.",
-]
-
-model = TextEmbedding(model_name="intfloat/multilingual-e5-large")
-embeddings = list(model.embed(documents))
-
-# [
-#     array([
-#         0.00611658, 0.00068912, -0.0203846, ..., -0.01751488, -0.01174267,
-#         0.01463472
-#     ],
-#           dtype=float32),
-#     array([
-#         0.00173448, -0.00329958, 0.01557874, ..., -0.01473586, 0.0281806,
-#         -0.00448205
-#     ],
-#           dtype=float32)
-# ]
-```