Instructions to use Adf/test-model-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adf/test-model-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="Adf/test-model-v3") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("Adf/test-model-v3") model = AutoModelForZeroShotImageClassification.from_pretrained("Adf/test-model-v3") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "MetaClip2Model" | |
| ], | |
| "dtype": "bfloat16", | |
| "initializer_factor": 1.0, | |
| "logit_scale_init_value": 2.6592, | |
| "model_type": "metaclip_2", | |
| "projection_dim": 1280, | |
| "text_config": { | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 49406, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_size": 1280, | |
| "initializer_factor": 1.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 5120, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 77, | |
| "model_type": "metaclip_2_text_model", | |
| "num_attention_heads": 20, | |
| "num_hidden_layers": 32, | |
| "pad_token_id": 1, | |
| "projection_dim": 1280, | |
| "vocab_size": 901629 | |
| }, | |
| "transformers_version": "5.9.0", | |
| "vision_config": { | |
| "attention_dropout": 0.0, | |
| "dtype": "bfloat16", | |
| "hidden_act": "gelu", | |
| "hidden_size": 1664, | |
| "image_size": 378, | |
| "initializer_factor": 1.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 8192, | |
| "layer_norm_eps": 1e-05, | |
| "model_type": "metaclip_2_vision_model", | |
| "num_attention_heads": 16, | |
| "num_channels": 3, | |
| "num_hidden_layers": 48, | |
| "patch_size": 14, | |
| "projection_dim": 1280 | |
| } | |
| } | |