Instructions to use jinaai/jina-clip-implementation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinaai/jina-clip-implementation with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jinaai/jina-clip-implementation", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
853dc7d
1
Parent(s): a3f5a60
remove imports used for testing
Browse files- modeling_clip.py +0 -3
modeling_clip.py
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@@ -39,9 +39,6 @@ except ImportError:
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from .configuration_clip import JinaCLIPConfig, JinaCLIPTextConfig, JinaCLIPVisionConfig
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from .eva_model import EVAVisionTransformer
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from .hf_model import HFTextEncoder
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from .rope_embeddings import rx
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from .transform import rt
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from .processing_clip import rp
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logger = logging.get_logger(__name__)
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from .configuration_clip import JinaCLIPConfig, JinaCLIPTextConfig, JinaCLIPVisionConfig
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from .eva_model import EVAVisionTransformer
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from .hf_model import HFTextEncoder
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logger = logging.get_logger(__name__)
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