Instructions to use bn22/CLIP-ViT-B-32-COCO-SCRATCH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bn22/CLIP-ViT-B-32-COCO-SCRATCH with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="bn22/CLIP-ViT-B-32-COCO-SCRATCH") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("bn22/CLIP-ViT-B-32-COCO-SCRATCH") model = AutoModelForZeroShotImageClassification.from_pretrained("bn22/CLIP-ViT-B-32-COCO-SCRATCH", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from bn22/CLIP-ViT-B-32-COCO-SCRATCH: direct link, hf CLI and curl.
- Browser
- Download file 1.19 kB
-
https://huggingface.co/bn22/CLIP-ViT-B-32-COCO-SCRATCH/resolve/main/config.json
- Command line
-
hf download hf://bn22/CLIP-ViT-B-32-COCO-SCRATCH/config.json
-
curl -L -o config.json https://huggingface.co/bn22/CLIP-ViT-B-32-COCO-SCRATCH/resolve/main/config.json
1.19 kB
| { | |
| "architectures": [ | |
| "CLIPModel" | |
| ], | |
| "dtype": "float32", | |
| "initializer_factor": 1.0, | |
| "logit_scale_init_value": 2.6592, | |
| "model_type": "clip", | |
| "projection_dim": 512, | |
| "text_config": { | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 49406, | |
| "dtype": "float32", | |
| "eos_token_id": 49407, | |
| "hidden_act": "gelu", | |
| "hidden_size": 512, | |
| "initializer_factor": 1.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 2048, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 77, | |
| "model_type": "clip_text_model", | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "projection_dim": 512, | |
| "vocab_size": 49408 | |
| }, | |
| "transformers_version": "5.20.2", | |
| "use_cache": false, | |
| "vision_config": { | |
| "attention_dropout": 0.0, | |
| "dtype": "float32", | |
| "hidden_act": "gelu", | |
| "hidden_size": 768, | |
| "image_size": 224, | |
| "initializer_factor": 1.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-05, | |
| "model_type": "clip_vision_model", | |
| "num_attention_heads": 12, | |
| "num_channels": 3, | |
| "num_hidden_layers": 12, | |
| "patch_size": 32, | |
| "projection_dim": 512 | |
| } | |
| } | |