embedding
deprecated in favor of embed
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@@ -745,6 +745,9 @@ async def hf_embedding(texts: list[str], tokenizer, embed_model) -> np.ndarray:
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async def ollama_embedding(texts: list[str], embed_model, **kwargs) -> np.ndarray:
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"""
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Deprecated in favor of `embed`.
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"""
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embed_text = []
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ollama_client = ollama.Client(**kwargs)
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for text in texts:
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@@ -754,6 +757,12 @@ async def ollama_embedding(texts: list[str], embed_model, **kwargs) -> np.ndarra
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return embed_text
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async def ollama_embed(texts: list[str], embed_model, **kwargs) -> np.ndarray:
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ollama_client = ollama.Client(**kwargs)
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data = ollama_client.embed(model=embed_model, input=texts)
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return data["embeddings"]
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class Model(BaseModel):
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"""
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This is a Pydantic model class named 'Model' that is used to define a custom language model.
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