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Use HF_ENDPOINT env instead of hardcoding https://huggingface.co (#18036)

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* Update jina_v1_embedding.py

* Update jina_v2_embedding.py
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idxlics 2025-05-05 08:38:17 +08:00 committed by GitHub
parent 895afcdb0e
commit 976863518b
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2 changed files with 8 additions and 5 deletions
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8
frigate/embeddings/onnx/jina_v1_embedding.py
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@ -36,11 +36,12 @@ class JinaV1TextEmbedding(BaseEmbedding):
requestor: InterProcessRequestor, requestor: InterProcessRequestor,
device: str = "AUTO", device: str = "AUTO",
): ):
HF_ENDPOINT = os.environ.get("HF_ENDPOINT", "https://huggingface.co")
super().__init__( super().__init__(
model_name="jinaai/jina-clip-v1", model_name="jinaai/jina-clip-v1",
model_file="text_model_fp16.onnx", model_file="text_model_fp16.onnx",
download_urls={ download_urls={
"text_model_fp16.onnx": "https://huggingface.co/jinaai/jina-clip-v1/resolve/main/onnx/text_model_fp16.onnx", "text_model_fp16.onnx": f"{HF_ENDPOINT}/jinaai/jina-clip-v1/resolve/main/onnx/text_model_fp16.onnx",
}, },
) )
self.tokenizer_file = "tokenizer" self.tokenizer_file = "tokenizer"
@ -156,12 +157,13 @@ class JinaV1ImageEmbedding(BaseEmbedding):
if model_size == "large" if model_size == "large"
else "vision_model_quantized.onnx" else "vision_model_quantized.onnx"
) )
HF_ENDPOINT = os.environ.get("HF_ENDPOINT", "https://huggingface.co")
super().__init__( super().__init__(
model_name="jinaai/jina-clip-v1", model_name="jinaai/jina-clip-v1",
model_file=model_file, model_file=model_file,
download_urls={ download_urls={
model_file: f"https://huggingface.co/jinaai/jina-clip-v1/resolve/main/onnx/{model_file}", model_file: f"{HF_ENDPOINT}/jinaai/jina-clip-v1/resolve/main/onnx/{model_file}",
"preprocessor_config.json": "https://huggingface.co/jinaai/jina-clip-v1/resolve/main/preprocessor_config.json", "preprocessor_config.json": f"{HF_ENDPOINT}/jinaai/jina-clip-v1/resolve/main/preprocessor_config.json",
}, },
) )
self.requestor = requestor self.requestor = requestor

5
frigate/embeddings/onnx/jina_v2_embedding.py
View File

@ -34,12 +34,13 @@ class JinaV2Embedding(BaseEmbedding):
model_file = ( model_file = (
"model_fp16.onnx" if model_size == "large" else "model_quantized.onnx" "model_fp16.onnx" if model_size == "large" else "model_quantized.onnx"
) )
HF_ENDPOINT = os.environ.get("HF_ENDPOINT", "https://huggingface.co")
super().__init__( super().__init__(
model_name="jinaai/jina-clip-v2", model_name="jinaai/jina-clip-v2",
model_file=model_file, model_file=model_file,
download_urls={ download_urls={
model_file: f"https://huggingface.co/jinaai/jina-clip-v2/resolve/main/onnx/{model_file}", model_file: f"{HF_ENDPOINT}/jinaai/jina-clip-v2/resolve/main/onnx/{model_file}",
"preprocessor_config.json": "https://huggingface.co/jinaai/jina-clip-v2/resolve/main/preprocessor_config.json", "preprocessor_config.json": f"{HF_ENDPOINT}/jinaai/jina-clip-v2/resolve/main/preprocessor_config.json",
}, },
) )
self.tokenizer_file = "tokenizer" self.tokenizer_file = "tokenizer"