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RAG / chunked /nltk_chunking /model_doc_imagegpt /chunk_29.txt

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added 3 more tables for large emb model

5fa1a76 over 1 year ago

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	The differences in size are summarized in the following table:

	\| Model variant \| Depths \| Hidden sizes \| Decoder hidden size \| Params (M) \| ImageNet-1k Top 1 \|
	\|---\|---\|---\|---\|---\|---\|
	\| MiT-b0 \| [2, 2, 2, 2] \| [32, 64, 160, 256] \| 256 \| 3.7 \| 70.5 \|
	\| MiT-b1 \| [2, 2, 2, 2] \| [64, 128, 320, 512] \| 256 \| 14.0 \| 78.7 \|
	\| MiT-b2 \| [3, 4, 6, 3] \| [64, 128, 320, 512] \| 768 \| 25.4 \| 81.6 \|
	\| MiT-b3 \| [3, 4, 18, 3] \| [64, 128, 320, 512] \| 768 \| 45.2 \| 83.1 \|
	\| MiT-b4 \| [3, 8, 27, 3] \| [64, 128, 320, 512] \| 768 \| 62.6 \| 83.6 \|
	\| MiT-b5 \| [3, 6, 40, 3] \| [64, 128, 320, 512] \| 768 \| 82.0 \| 83.8 \|
	Resources
	A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with ImageGPT.