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from .model import AnthropicCompletions | ||
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__version__ = "0.0.5" | ||
__version__ = "0.4.0" | ||
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__all__ = ('AnthropicCompletions',) |
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from .model import CohereEmbed, CohereGenerate | ||
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__version__ = "0.0.5" | ||
__version__ = "0.4.0" | ||
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__all__ = 'CohereEmbed', 'CohereGenerate' |
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from .data_backend import IbisDataBackend as DataBackend | ||
from .query import IbisQuery | ||
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__version__ = "0.0.5" | ||
__version__ = "0.4.0" | ||
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__all__ = ["IbisQuery", "DataBackend"] |
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from .model import JinaEmbedding | ||
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__version__ = "0.0.5" | ||
__version__ = "0.4.0" | ||
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__all__ = ['JinaEmbedding'] |
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from .lance import LanceVectorSearcher as VectorSearcher | ||
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__version__ = "0.0.6" | ||
__version__ = "0.4.0" | ||
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__all__ = ['VectorSearcher'] |
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from .model import LlamaCpp, LlamaCppEmbedding | ||
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__version__ = "0.0.5" | ||
__version__ = "0.4.0" | ||
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__all__ = ['LlamaCpp', 'LlamaCppEmbedding'] |
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from .model import OpenAIChatCompletion, OpenAIEmbedding | ||
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__version__ = "0.0.9" | ||
__version__ = "0.4.0" | ||
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__all__ = 'OpenAIChatCompletion', 'OpenAIEmbedding' |
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from .encoder import pil_image | ||
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__version__ = "0.0.5" | ||
__version__ = "0.4.0" | ||
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__all__ = ['pil_image'] |
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from .qdrant import QdrantVectorSearcher as VectorSearcher | ||
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__version__ = "0.0.1" | ||
__version__ = "0.4.0" | ||
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__all__ = ['VectorSearcher'] |
2 changes: 1 addition & 1 deletion
2
plugins/sentence_transformers/superduper_sentence_transformers/__init__.py
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from .model import SentenceTransformer | ||
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__version__ = "0.0.5" | ||
__version__ = "0.4.0" | ||
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__all__ = ('SentenceTransformer',) |
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from .model import Estimator, SklearnTrainer | ||
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__version__ = "0.0.5" | ||
__version__ = "0.4.0" | ||
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__all__ = 'Estimator', 'SklearnTrainer' |
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data_backend: sqlite:// | ||
auto_schema: false | ||
json_native: false | ||
force_apply: true |
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from .metadata import SQLAlchemyMetadata as MetaDataStore | ||
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__version__ = "0.0.5" | ||
__version__ = "0.4.0" | ||
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__all__ = ['MetaDataStore'] |
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__version__ = "0.0.5" | ||
__version__ = "0.4.0" |
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from .model import LLM, TextClassificationPipeline | ||
from .training import LLMTrainer | ||
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__version__ = "0.0.5" | ||
__version__ = "0.4.0" | ||
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__all__ = ('TextClassificationPipeline', 'LLM', 'LLMTrainer') |