Instructions to use ConvLLaVA/LAION-CLIP-ConvNeXt-Large-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use ConvLLaVA/LAION-CLIP-ConvNeXt-Large-512 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:ConvLLaVA/LAION-CLIP-ConvNeXt-Large-512') tokenizer = open_clip.get_tokenizer('hf-hub:ConvLLaVA/LAION-CLIP-ConvNeXt-Large-512') - Notebooks
- Google Colab
- Kaggle
Upload open_clip_config.json with huggingface_hub
Browse files- open_clip_config.json +33 -0
open_clip_config.json
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{
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"model_cfg": {
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"embed_dim": 768,
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"vision_cfg": {
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"timm_model_name": "convnext_large",
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"timm_model_pretrained": false,
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"timm_pool": "",
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"timm_proj": "mlp",
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"timm_drop": 0.0,
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"timm_drop_path": 0.1,
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"image_size": 320
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},
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"text_cfg": {
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"context_length": 77,
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"vocab_size": 49408,
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"width": 768,
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"heads": 12,
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"layers": 16
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}
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},
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"preprocess_cfg": {
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"mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"std": [
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0.26862954,
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0.26130258,
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0.27577711
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]
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}
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}
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