mrfoxv
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snowflake_model2vec

sentence-transformers

static-embeddings

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snowflake_model2vec / script.py

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6c63e8b verified 11 months ago

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	# script.py

	from model2vec.distill import distill
	import os

	# Set local base model path (already cloned)
	LOCAL_MODEL_PATH = os.path.join(os.path.dirname(__file__), "snowflake-arctic-embed-xs")
	OUTPUT_PATH = os.path.dirname(os.path.abspath(__file__))
	PCA_DIMS = 256 # You can tweak this

	print("Distilling Model2Vec from local model...")

	# Distill model
	model = distill(model_name=LOCAL_MODEL_PATH, pca_dims=PCA_DIMS)

	print("Saving distilled model to:", OUTPUT_PATH)
	model.save_pretrained(OUTPUT_PATH)

	print("✅ Done. Distilled model saved to", OUTPUT_PATH)